DESC:This patent application claims priority benefit of Indian Provisional Patent Application No: 202241055429, entitled “NON INTRUSIVE SYSTEM AND METHOD FOR MONITORING USERS SLEEP”, filed on 27th Sep 2022. The entire content of the patent application is hereby incorporated by reference herein in its entirety.

TECHNICAL FIELD
[001] The disclosed subject matter relates to a non-intrusive system and method for monitoring a user’s sleep and presenting vital information about their sleep to the user, and generally for sleep management. More particularly, the present disclosure relates to a non-intrusive sleep monitoring device and assisting users in increasing their quality of sleep.

BACKGROUND
[002] Generally, sleep devices are used in sleep labs for diagnosing sleep-related illnesses or conditions. The sleep devices include wet electrodes for detecting signals such as EEG (Electroencephalography), EMG (Electromyography), and EOG (Electrooculargraph), signals of a user for diagnostics. The application of wet electrodes to the skin generally requires a conductive gel on the electrode to secure the attachment of the electrode to the skin. These wet electrode-based devices are uncomfortable and unsuitable for home purposes, although some wet electrodes provide better EEG signal recordings than other competing electrodes. The existing sleep devices available in the consumer market may allow the user to monitor and/or track sleep at home.

[003] However, the existing sleep devices are single-mode devices as each relies on a single mechanism for receiving input signals (e.g., wet electrode, accelerometer, or dry electrode). Additionally, users prefer more choices regarding the different ways of wearing or using a sleep device. For example, a user may select to wear a headband on some nights and a wristband on others. Therefore, these single-mode devices in the market limit users to only one form of use (e.g., wearing a wristband, headband, etc.).

[004] Further, many applications have been developed to monitor users' sleep states. Such applications often operate on mobile devices, including smartphones, and require users to place their mobile devices on a mattress to monitor their sleep state. However, such applications rely on an accelerometer of the mobile device for sleep state detection and are generally limited in functionality and convenience. For example, the user must place the mobile device at a particular mattress location to track their sleep state. If not, the application may not follow the user's sleep state. Further, the users could only track their sleep using wearables like watches, bracelets, and rings and the users do not feel wearing watches, bracelets, and rings while sleep. Hence, there is a need to develop a non-intrusive system to monitor user sleep (metrics) and assist the user with quality sleep to experience a comfortable sleep.

[005] In light of the aforementioned discussion, there exists a need for a certain system with novel methodologies that would overcome the disadvantages as mentioned above.

SUMMARY
[006] The following presents a simplified summary of the disclosure in order to provide a basic understanding of the reader. This summary is not an extensive overview of the disclosure and it does not identify key/critical elements of the invention or delineate the scope of the invention. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.

[007] An objective of the present disclosure is directed towards a Non-intrusive sleep monitoring system that enables users to experience a comfortable sleep while their sleep gets monitored.

[008] Another objective of the present disclosure is directed towards a non-intrusive system that includes a Non-intrusive sleep monitoring device and a sleep pad.

[009] Another objective of the present disclosure is directed towards a non-intrusive system that includes multiple sensors integrated into the sleep pad.

[0010] Another objective of the present disclosure is directed towards a non-intrusive system that includes a smart alarm to wake up the user at a selected sleep cycle.

[0011] Another objective of the present disclosure is directed towards a non-intrusive system that tracks the user's sleep through multiple sensors that measure the user's heart rate, respiratory rate, and body movements.

[0012] Another objective of the present disclosure is directed towards a non-intrusive system that tracks snoring, coughing, ambient sounds, surrounding temperature, body temperature, and surrounding light illuminance while sleeping.

[0013] Another objective of the present disclosure is directed towards a non-intrusive system that includes the sleep pad with an active electrode area of the PDVF sensor (Polyvinylidene fluoride sensor) is 698.5mm long and 3mm wide, which helps in increased sensitivity and accuracy to capture user metrics.

[0014] Another objective of the present disclosure is directed towards a non-intrusive system that uses PVDF sensors of 50 microns in thickness that provides flexibility and improves accuracy. It also helps with accidental folds over the sensors making it suitable for day-to-day usage with normal wear and tear.

[0015] Another objective of the present disclosure is directed towards a non-intrusive system that uses a lower limiting frequency in the range of one to three Hz with a pulse sensor to calculate the heart rate accurately.

[0016] Another objective of the present disclosure is directed towards a non-intrusive system that enables the users to use the sleep pad individually without the mattress.

[0017] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that includes a network module to connect with a computing device and transmits the user metrics to the computing device from the sleep monitoring device.

[0018] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that includes a buzzer to indicate an active state, inactive state, and low battery level.

[0019] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that includes an LED to indicate when the device is in an active state, inactive state, or low battery level and when the device connects to the computing device.

[0020] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that includes a processing unit with an inbuilt memory to store user metrics for predetermined days(for example, seven days)

[0021] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that transmits the user metrics to the cloud server over the network module.

[0022] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that includes a battery (for example, a li-polymer batter) that lasts for predetermined days (for example, six to seven days) on one single charge.

[0023] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that uses internal algorithms to optimize battery usage on one single charge using a sleep timer.

[0024] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that deactivates the network module throughout the night and activates when the user wakes up and leaves the sleep pad, which helps to improve and optimize the battery life on a single charge.

[0025] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that includes a microphone to detect all ambient sounds during sleep and stores the user metrics on the device.

[0026] Another objective of the present disclosure is directed towards a microphone within the Non-intrusive sleep monitoring device that records the surrounding sounds, which improves the accuracy and eliminates the dependence on the computing device.

[0027] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that identifies snoring, coughing, and other ambient sounds from the captured user metrics using high-pass filters.

[0028] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that includes a temperature sensor to measure the surrounding temperature (hotness and coolness) to identify the quality of sleep.

[0029] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that sends notifications to the users if they have a fever or cold sweats.

[0030] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that includes light sensors to measure Lux (Illuminance) in a room.

[0031] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that sends notifications to the computing device when the amount of light falling exceeds the optimal sleeping Illuminance of not more than five.

[0032] Another objective of the present disclosure is directed towards a sleep pad that is designed in a unique assembling process where the PDVF sensors are stitched onto the sleep pad without causing any harm/damage.

[0033] Another objective of the present disclosure is directed towards a sleep pad that uses an olefin fabric on the sides and is stitched onto the foam, which protects the PDVF sensors from moving away from their original place and holds them in position.

[0034] Another objective of the present disclosure is directed towards a sleep pad that is uniquely designed to track individual user metrics for even two users on bed without compromising on the accuracy and is achieved by placing two separate sensors on each side of the double-sized sleeping pad with each side having the Non-intrusive sleep monitoring device.

[0035] Another objective of the present disclosure is directed towards a sleep pad that is designed ergonomically (Efficient and Comfortable).

[0036] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that ensures more accuracy in detecting snoring and coughing by using clinically tested metrics of sound (decibels of sounds of each of the events), frequency of sound, and duration.

[0037] Another objective of the present disclosure is directed towards a sleep pad made with 30mm Polyurethane (PU) foam which optimizes sleep comfort for the users.

[0038] Another objective of the present disclosure is directed towards a sleep pad that allows users to use it in two ways because of its unique design by placing it directly on the mattress.

[0039] Another objective of the present disclosure is directed towards a sleep pad that is specially designed with a strap that helps to hold the non-intrusive sleeping monitoring device in position with the mattress without slipping, which improves and optimizes the accuracy of detecting the user metrics.

[0040] Another objective of the present disclosure is directed towards a sleep pad that includes the PDVF sensors, which are optimally placed exactly in the middle at 15mm distance from the top edge of the sleeping surface and the non-sleeping surface.

[0041] Another objective of the present disclosure is directed towards a sleep pad that optimizes the accuracy as the PVDF sensors used are accurate up to 3cm distance for providing a non-intrusive system with no data inconsistencies.

[0042] Another objective of the present disclosure is directed towards the PVDF sensors, which are placed precisely between 24-28 inches from the top edge of the sleeping surface and the non-sleeping surface of the sleeping pad.

[0043] Another objective of the present disclosure is directed towards the placing of the PVDF sensors to ensure the sensors align with the chest area, which optimizes and improves in capturing user metrics.

[0044] Another objective of the present disclosure is directed towards the PDVF sensors integrated into the sleep pad and the strap, which optimizes the cost and errors.

[0045] Another objective of the present disclosure is directed towards the PDVF sensors inside the sleep pad being protected by a specially designed olefin fabric that protects the sensors from damage and prevents any electromagnetic static. This ensures the protection of sensors and provides accurate user metrics.

[0046] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors the user's sleep cycle and sleeps timings and enables the users to view a summary of the key metrics (user metrics) of the user's sleep.

[0047] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that enables the users to view the summary of the user metrics along with the user's sleep cycle's and sleep timings, and a sleep journal through a user metrics accessing module on a computing device.

[0048] Another objective of the present disclosure is directed towards a non-intrusive system that enables the users to take control of their sleep based on a sleep score that the non-intrusive sleep monitoring device provides.

[0049] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that enables the users to adjust wherever needed to enjoy a good / better quality sleep.

[0050] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that tracks sleep using sensors that come in contact with both the mattress and the users.

[0051] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that eliminates the need to wear a watch, ring or another object/item by the users that provides discomfort to track the user's sleep.

[0052] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that enables a doctor to monitor the patient's sleep and allows them to create/adjust the treatment plan.

[0053] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that enables a sports coach to monitor a coachee's sleep and allows the coach to create/adjust the training program.

[0054] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors the heart rate of the user while sleeping.

[0055] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors the user's respiration rate while sleeping.

[0056] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors the user's body movements while sleeping.

[0057] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors the user's deep sleep while sleeping.

[0058] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors the light sleep of the users while sleeping.

[0059] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors the rapid eye movement sleep of the user while sleeping.

[0060] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that tracks when the user falls asleep.

[0061] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that tracks when the user gets up.

[0062] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors the snoring, coughing and ambient sounds of the users while sleeping.

[0063] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors the total time awake in the bed while sleeping.

[0064] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors the total time spent in bed while sleeping.

[0065] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors fluctuations in heart rates during sleep.

[0066] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that monitors fluctuations in respiration rate during sleep.

[0067] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that provides the user metrics information with benchmarks on the computing device using the user metrics accessing the module.

[0068] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that provides a sleep consultation to users with sleep irregularities.

[0069] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that assists sleep exercises to the users in falling asleep.

[0070] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that assists music therapy to the user fall asleep.

[0071] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that includes a smart alarm to wake up the users in the ideal moment, which is in alignment with their sleep cycles.

[0072] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that decides a sleep score that is graded/benchmarked based on the user metrics information.

[0073] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that decides the quality of the user's sleep based on the sleep score.

[0074] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that performs the calculations to generate a sleep score based on user metrics using in-house built algorithms, and this user metrics information is relayed on the computing device using the user metrics monitoring module.

[0075] Another objective of the present disclosure is directed towards a Non-intrusive sleep monitoring device that calculates the sleep score and decides the sleep quality to improve the sleep of the users, thereby providing the users an opportunity to talk to our in-house sleep consultant.

[0076] In an embodiment of the present disclosure, a non-intrusive system comprising a sleep pad and a non-intrusive sleep monitoring device, the sleep pad includes a sleeping surface and a strap.

[0077] In another embodiment of the present disclosure, the strap is positioned on at least one of: a sleeping surface of the sleep pad; and a non-sleeping surface of the sleep pad; and sandwiched between the sleeping surface and the non-sleeping surface of the sleep pad.

[0078] In another embodiment of the present disclosure, the strap comprises one or more Polyvinylidene fluoride (PVDF) sensors, and the sleep pad is configured to enable one or more users to position the sleep pad on a mattress and to use the sleep pad individually without the mattress while sleeping.

[0079] In another embodiment of the present disclosure, the non-intrusive sleep monitoring device includes temperature sensors, light sensors, pulse sensors, and a microphone configured to detect and measure user metrics of one or more users.

[0080] In another embodiment of the present disclosure, the non-intrusive sleep monitoring device is configured to enable the one or more users to place the non-intrusive sleep monitoring device on at least one of: the sleeping surface of the sleep pad, the non-sleeping surface of the sleep pad; a top edge of the sleeping pad; a bottom edge of the sleeping pad; right side of the sleeping pad; and left side of the sleeping pad.

[0081] In another embodiment of the present disclosure, the non-intrusive sleep monitoring device comprises a network module configured to send detected user metrics to a computing device, a cloud server and a central database.

[0082] In another embodiment of the present disclosure, a computing device comprises a user metrics accessing module configured to receive the sleep score and the user metrics information from the non-intrusive sleep monitoring device over a network.

BRIEF DESCRIPTION OF THE DRAWINGS
[0083] In the following, numerous specific details are set forth to provide a thorough description of various embodiments. Certain embodiments may be practiced without these specific details or with some variations in detail. In some instances, certain features are described in less detail so as not to obscure other aspects. The level of detail associated with each of the elements or features should not be construed to qualify the novelty or importance of one feature over the others.

[0084] FIG. 1 is an example diagram depicting a non-intrusive system for monitoring users' sleep, in accordance with one or more exemplary embodiments.

[0085] FIG. 2 is an example diagram depicting a schematic representation of the user metrics monitoring module stored in the cloud server, in accordance with one or more exemplary embodiments.

[0086] FIG. 3A and 3B are example diagrams depicting the non-intrusive sleep monitoring device, in accordance with one or more exemplary embodiments.

[0087] FIG. 4A is an example diagram depicting the non-intrusive sleep monitoring device with the sensor that is integrated into the sleep pad, in accordance with one or more exemplary embodiments.

[0088] FIG. 4B is another example diagram depicting a schematic representation of an installation of the non-intrusive sleep monitoring device on the mattress, in accordance with one or more exemplary embodiments.

[0089] FIG. 5A is an example diagram depicting the non-intrusive sleep monitoring device with the sensors that are integrated into the sleep pad for area one user, in accordance with one or more exemplary embodiments.

[0090] FIG. 5B is another example diagram depicting the non-intrusive sleep monitoring device with the sensors that are integrated into the sleep pad for area two users, in accordance with one or more exemplary embodiments.

[0091] FIG. 6A and FIG. 6B are example diagrams depicting the non-intrusive sleep monitoring device with the sensors that are integrated into the sleep pad, in accordance with one or more exemplary embodiments.

[0092] FIG. 6C is an example graph depicting the user's heartbeat rate, in accordance with one or more exemplary embodiments.

[0093] FIG. 7 is an example diagram depicting a schematic representation of the non-intrusive sleep monitoring device establishing communication with the computing device through the central database, in accordance with one or more exemplary embodiments.

[0094] FIG. 8A and FIG. 8B are example screens depicting a user sign-in and sign-up screen of the user metrics accessing module, in accordance with one or more exemplary embodiments.

[0095] FIG. 8C is an example screen depicting an additional information screen of the user metrics accessing module, in accordance with one or more exemplary embodiments.

[0096] FIG. 8D is an example screen depicting a user guide screen of the user metrics accessing module, in accordance with one or more exemplary embodiments.

[0097] FIG. 8E and FIG. 8F are example screens depicting the search screens by the user metrics accessing module on the computing device, in accordance with one or more exemplary embodiments.

[0098] FIG. 8G is an example screen depicting a successful connection screen between the non-intrusive sleep monitoring device and the computing device, in accordance with one or more exemplary embodiments.

[0099] FIG. 8H and FIG. 8I are example screens depicting home screens of the user metrics accessing module, in accordance with one or more exemplary embodiments.

[00100] FIG. 8J is an example screen depicting the sleep summary, in accordance with one or more exemplary embodiments.

[00101] FIG. 8K is another example screen depicting the sleep score per day, in accordance with one or more exemplary embodiments.

[00102] FIG. 8L is an example screen depicting the dashboard of the sleep score, in accordance with one or more exemplary embodiments.

[00103] FIG. 9 is example of flow diagram depicting a method for monitoring user's sleep using the non-intrusive sleep monitoring device, in accordance with one or more exemplary embodiments.

[00104] FIG. 10 is a block diagram illustrating the details of a digital processing system in which various aspects of the present disclosure are operative by the execution of appropriate software instructions.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS
[00105] It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

[00106] The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item. Further, the use of terms “first”, “second”, and “third”, and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

[00107] Referring to FIG. 1 is an example diagram 100 depicting a non-intrusive system for monitoring user's sleep, in accordance with one or more exemplary embodiments. The system 100 includes a non-intrusive sleep monitoring device 102a, a sleep pad 102b, a network 104, a computing device 106, a user metrics accessing module 108, a cloud server 110, and a central database 112. The non-intrusive sleep monitoring device 102 includes a processing device 114, first temperature sensors 116a, light sensors 116b, a Network module 118, a buzzer 120, and LED indicator 122, a battery 124, a microphone 126, and a memory 130. The sleep pad 102b includes Polyvinylidene fluoride sensors (PVDF) 116c, second temperature sensors 116d, and pulse sensors 116e. The computing device 106 includes a user metrics accessing module 108. The cloud server 110 includes a user metrics monitoring module 128. The memory 130 of the non-intrusive sleep monitoring device 102a includes the user metrics monitoring module 128.

[00108] The non-intrusive sleep monitoring device 102a and the sleep pad 102b may be configured to detect user metrics while sleeping using the first temperature sensors 116a, second temperature sensors 116d, the Polyvinylidene fluoride sensors (PVDF) 116c, pulse sensors 116e, and the microphone 126. The non-intrusive sleep monitoring device 102a may be configured to identify snoring, coughing, and other ambient sounds from the user metrics while sleeping using high-pass filters. The user metrics may include, but not limited to, surrounding temperature and surrounding light illuminance, heart rate, respiration rate, body temperature, body movements, surrounding sounds, Regularity of Sleep, sleep duration, sleeping/resting heart rate, sleep efficiency, sleep routine behavior, sleep disturbance criteria, deep sleep, light sleep, rapid eye movement, when the user falls asleep, when the user gets up, snoring and sleep apnea (constant snoring is an effect of bad lung health), coughing, total time awake on the bed, total time spent on the bed, ambient sound during sleep, fluctuations in heart rates during sleep, fluctuations in respiration rate during sleep, the temperature of users, and the like.

[00109] The user metrics information may include but not limited to, sleep score, sleep duration, sleeping/resting heart rate, sleep efficiency, sleep routine behavior, sleep disturbance criteria, deep sleep, light sleep, rapid eye movement, when the user falls asleep, when the user gets up, snoring and detecting sleep apnea (constant snoring is an effect of bad lung health), coughing, total time awake on the bed, total time spent on the bed, ambient sound during sleep, fluctuations in heart rates during sleep, fluctuations in respiration rate during sleep, the temperature of users, and the like.

[00110] The processing device 114 may include, but not limited to, a microcontroller (for example, ARM 7 or ARM 11), a raspberry pi, a microprocessor, a digital signal processor, a microcomputer, a field programmable gate array, a programmable logic device, a state machine or logic circuitry, Arduino board. The processing device 114 may include an inbuilt memory 130 configured to store user metrics for predetermined days(for example, seven days) of the users and is transferred to the computing device 106 over the network 104.

[00111] The network 104 may include, but is not limited to, an Ethernet, a wireless local area network (WLAN), or a wide area network (WAN), a Bluetooth low energy network, a ZigBee network, a Controller Area Network (CAN bus), a WIFI communication network, e.g., the wireless high-speed internet, or a combination of networks, a cellular service such as a 4G (e.g., LTE, mobile WiMAX) or 5G cellular data service, a RFID module, a NFC module, wired cables, such as the world-wide-web based Internet, or other types of networks may include Transport Control Protocol/Internet Protocol (TCP/IP) or device addresses (e.g. network-based MAC addresses, or those provided in a proprietary networking protocol, such as Modbus TCP, or by using appropriate data feeds to obtain data from various web services, including retrieving XML data from an HTTP address, then traversing the XML for a particular node) and the like without limiting the scope of the present disclosure.

[00112] The first temperature sensors 116a installed in the non-intrusive sleep monitoring device 102a may be configured to measure the surrounding temperature (hotness and coolness) to identify the quality of sleep and the second temperature sensors 116d installed in the sleep pad 102b may be configured to measure user’s temperature and send notifications to the computing device 106 if the users have a fever or cold sweats. The light sensors 116b may be configured to measure Lux (Illuminance) in a room and sends a notification to the computing device 106 when the light falling exceeds the optimal sleeping Illuminance. The optimal sleeping Illuminance may be of at most five.

[00113] The Network module 118 may be configured to establish communication with the computing device 106 to transfer the user metrics information from the non-intrusive sleep monitoring device 102a to the computing device 106. The Network module 118 may include but not limited to, Bluetooth network, wireless network and the like. The buzzer 120 may be configured to indicate an active state, an inactive state, and a low battery level of the non-intrusive sleep monitoring device 102a. The LED 122 may be configured to indicate the activation/deactivation of the non-intrusive sleep monitoring device 102a, low battery level, and when the device 102a is connected to the computing device 106. The battery (for example, a li-polymer batter) 124 lasts for predetermined days (for example, six to seven days) on one single charge. The non-intrusive sleep monitoring device 102a may use internal algorithms to optimize the usage of the battery 124 on one single charge using a sleep timer. The processing device 114 may be programmed with the optimization instructions to optimize the usage of the battery 124. The optimization instructions may include, but not limited to, activate standby mode when the device is idle for x minutes (For example, five minutes), transmit the user metrics to the computing device for x number of times per hour (For example, the device 102a transmits the user metrics to the computing device 106 when the device 102a is connected to the computing device 106 over the network 104, deactivates the Bluetooth/Wi-Fi network throughout the night and activates the Bluetooth/Wi-Fi only when the user wakes up and leaves the sleep pad 102b, and the like.

[00114] The non-intrusive sleep monitoring device 102a deactivates the Network module 118 throughout the night and activates the Network module 118 only when the user wakes up and leaves the sleep pad 102b to transfer the user metrics to the computing device 106, which helps to improve and optimize battery life on a single charge. The microphone 126 may be configured to record all the surrounding sounds during sleep and stores the user metrics in the memory 130 of the non-intrusive sleep monitoring device 102a. The microphone 126 within the non-intrusive sleep monitoring device 102 may be configured to record the surrounding sounds, improving accuracy and eliminating the dependence on the computing device 106. In addition, using the in-built algorithms, the non-intrusive sleep monitoring device 102 may be configured to identify snoring, coughing, and other ambient sounds.

[00115] For example, the sound captured by the microphone 126 is detected as snoring when the sound is>40 Decibels with a duration of > 2000ms. The sound captured by microphone 126 is seen as coughing when the frequency is>100 Hz and with a duration of >100 ms. All other sounds captured by the microphone 126 are considered ambient sounds.

[00116] The Polyvinylidene fluoride sensors (PVDF) 116c may be integrated into the sleep pad 102b to provide comfortable sleep while the user's sleep gets monitored. The PVDF sensors 116c are one of the most attractive and highly investigated candidates for mechanical energy harvesting applications among polymer materials. The PVDF features include a high piezoelectric coefficient (d33 = 49.6 pm/V), excellent stability, and desirable flexibility.

[00117] Based on all the user metrics captured by the non-intrusive sleep monitoring device 102, in-house built algorithms are configured to decide the sleep score of the user. As all the user metrics collected are more clinical and scientifically followed by the medical community, the sleep scores are more accurate than the other methods.

[00118] In an exemplary embodiment, the exemplary calculations of the user metrics to obtain the sleep score is mentioned below:
[00119] Sleep Duration (SD):
Duration Points
7-9 hours 10
6-7 hours 8
5-6 hours 6
4-5 hours 4
<4hrs 2

[00120] Sleeping/Resting Heart Rate (SHR), and Respiratory Rate:
Heart Rate Points
40-60 bpm 10
60-70 bpm 8
70-80 bpm 6
80-90 bpm 4
> 90 bpm 2

[00121] Sleep Efficiency (SE):
Deep Sleep Points
13-23% 10
10-13% 8
8-10% 6
6-8% 4
<6% 2

REM Sleep Points
20-25% 10
15-20% 8
10-15% 6
5-10% 4
<5% 2

[00122] Sleep Routine Behaviour (SRB):
Went to bed Points
Same time +/- 30 mins 20
30mins - 1-hour difference 18
1 hr - 1hr30mins difference 16
1hr30mins - 2-hour difference 14
>2hrs hour difference 12

[00123] Sleep Disturbance Criteria (SDC):
Body Movements Points
<5 times 10
5-7times 8
7-10 times 6
10-12 times 4
>12 times 2

[00124] the sleep score is calculated based on the points obtained for Sleep Duration, Sleeping/Resting Heart Rate, and Respiratory Rate, Sleep Efficiency, Sleep Routine Behavior, Sleep Disturbance Criteria, the formula to calculate the sleep score using the user metrics is:

[(SD+SHR+SE+SRB+SDC)/70]*100

[00125] In an exemplary embodiment of the present disclosure, the non-intrusive sleep monitoring device 102a may be configured to monitor and record user metrics using the first temperature sensors 116a, light temperature sensors 116b, PVDF sensors 116c, the second temperature sensors and 116d, and the microphone 126. The non-intrusive sleep monitoring device 102a may be configured to send the user metrics to the cloud server 110 and the central database 112 over the network 104.

[00126] In an embodiment of the present invention, the user metrics accessing module 108 is configured to enable the users to view the summary of the user metrics and the user metrics information on the computing device 106. The summary of the user metrics may include, but not limited to, a summary of user metrics per day, a summary of user metrics per week, summary of user metrics per month, a summary of user metrics per year, and the like. The user metrics accessing module 108 is configured to receive all the user metrics information from the non-intrusive sleep monitoring device 102a. The user metrics accessing module 108 is configured to the enable the user to retrieve the user metrics information stored in the cloud server110/ the central database 112 and relay the user metrics information to the users on the computing device 106.

[00127] In an embodiment of the present invention, the non-intrusive sleep monitoring device 102a and the cloud server 110 includes the user metrics monitoring module 128 and is configured to calculate the sleep score based on the identified user metrics while sleeping. The user metrics monitoring module 128 may be stored in the memory 130 of the processing device 114. The non-intrusive sleep monitoring device 102a and the sleep pad 102b may be configured to record the user metrics using the sensors 116a, 116b, 116c, 116d and 116e and the microphone 126 and generates the sleep score using the processing device 114. The non-intrusive sleep monitoring device 102a may be configured to send the sleep score to the computing device 106 over the network 104.

[00128] The central database 112 and the cloud server 110 may be configured to receive the user metrics from the non-intrusive sleep monitoring device 102a and the sleep pad 102b using the sensors 116a, 116b, 116c, 116d and 116e and the microphone 126. The central database 112 and the cloud server 110 may be configured to convert the user metrics into the respiratory rate, heart rate and body movements, and the like. These user metrics are used to calculate sleep cycles for the user. The sleep cycles may include light sleep, deep sleep and REM sleep. The central database 112 and the cloud server 110 may be configured to assign a sleep score based on the recorded and calculated user metrics. The central database 112 and the cloud server 110 may be configured to decide the quality of sleep of the user.

[00129] Although the computing device 106 shown in FIG. 1, an embodiment of the system 100 may support any number of computing devices. The computing device 106 may include, but are not limited to, a desktop computer, a personal mobile computing device such as a tablet computer, a laptop computer, or a netbook computer, a smartphone, a server, an augmented reality device, a virtual reality device, a digital media player, a piece of home entertainment equipment, backend servers hosting database 112 and other software, and the like. Each computing device supported by the system 100 is realized as a computer-implemented or computer-based device having the hardware or firmware, software, and/or processing logic needed to carry out the intelligent messaging techniques and computer-implemented methodologies described in more detail herein.

[00130] The user metrics accessing module 108 may be downloaded from the cloud server 110. For example, the user metrics accessing module 108 may be any suitable application downloaded from GOOGLE PLAY® (for Google Android devices), Apple Inc.'s APP STORE® (for Apple devices, or any other suitable database). In some embodiments, the user metrics accessing module 108 may be software, firmware, or hardware that is integrated into the computing device 106. The user metrics accessing module 108, which is accessed as mobile applications, web applications, software that offers the functionality of accessing mobile applications, and viewing/processing of interactive pages, for example, are implemented in the computing device 106 as will be apparent to one skilled in the relevant arts by reading the disclosure provided herein.

[00131] In an exemplary embodiment of the present disclosure, the non-intrusive sleep monitoring device 102a may be configured to enable the users to experience a comfortable sleep while their sleep gets monitored. The non-intrusive sleep monitoring device 102a may be integrated with a smart alarm (buzzer 120) to wake up the users after a complete sleep. The smart alarm (buzzer 120) may also be configured to wake the users at the ideal moment (it wakes you up only when you are completely rested and have completed x sleep cycles), which aligns with their sleep cycles. The non-intrusive sleep monitoring device 102a may be configured to track the user's sleep through multiple sensors that measure the user's heart rate, respiratory rate, body temperature, and body movements. The sleep pad 102b includes one or more heat sensors 116f to control the temperature, for example, to cool down the mattress or heat it in winter.

[00132] The non-intrusive sleep monitoring device 102a may be configured to monitor the user's sleep cycle and sleep timings and enables the user to view a summary of the key metrics (user metrics) of the user's sleep, along with the user's sleep cycle's and sleep timings on a personalized sleep dashboard and sleep journal that the user can access through the user metrics accessing module 108 on the computing device 106. The non-intrusive sleep monitoring device 102a may be configured to enable the users to take control of their sleep based on the user metrics that the non-intrusive sleep monitoring device 102a records and the user metrics information that the non-intrusive sleep monitoring device 102a provides.

[00133] The non-intrusive sleep monitoring device 102a may be configured to enable the users to make adjustments wherever needed to enjoy a good / better sleep. In addition, the non-intrusive sleep monitoring device 102a may be configured to track the user's sleep using the sensors 116a, 116b, 116c, 116d and 116e and the microphone 126 that comes in contact with the sleep pad 102b and the user.

[00134] In an exemplary embodiment of the present invention, the non-intrusive sleep monitoring device 102a may be configured to eliminate the need to wear a watch, ring, or another item by the user that provides discomfort to track user sleep. The non-intrusive sleep monitoring device 102a may be configured to enable the doctor to monitor the patient's sleep and allows them to create/adjust the treatment plan. The non-intrusive sleep monitoring device 102a may be configured to enable the sports coach to monitor the coachee's sleep and allows the coach to create/adjust the training program.

[00135] The non-intrusive sleep monitoring device 102a may be configured to provide the user metrics information with benchmarks on the computing device 106 through the user metrics accessing module 108. The non-intrusive sleep monitoring device 102a may be configured to provide sleep consultation to the user with sleep irregularities. The non-intrusive sleep monitoring device 102a may be configured to send SOS notifications (emergency notifications) for Heart Rate Emergencies to hospitals and Emergency Contacts. The non-intrusive sleep monitoring device 102a may be configured to assist sleep exercises in helping the user in falling asleep. The non-intrusive sleep monitoring device 102a may be configured to assist music therapy in allowing the user to fall asleep. The non-intrusive sleep monitoring device 102a may be configured to generate the sleep score, which is graded/benchmarked based on the user metrics using the processing device 114.

[00136] The non-intrusive sleep monitoring device 102 may be configured to decide the quality of the user's sleep based on the sleep score calculated using user metrics. The non-intrusive sleep monitoring device 102a may be configured to perform the calculations based on in-house built algorithms, and this information is relayed by the user metrics accessing module 108 on the computing device 106.

[00137] Referring to FIG. 2 is an example diagram 200 depicting a schematic representation of the user metrics monitoring module embedded in the cloud server and the non-intrusive sleep monitoring device, in accordance with one or more exemplary embodiments. The diagram 200 includes, a bus 201, user metrics tracking module 202, user metrics obtaining module 204, a sleep score calculating module 206, a sleep score generating module 208, and a sleep quality deciding module 210. The term “module” is used broadly herein and refers generally to a program resident in the memory of the cloud server 110 and the non-intrusive sleep monitoring device 102a. The bus 201 may include a path that permits communication among the modules of the user metrics monitoring module 128.

[00138] The user metrics tracking module 202 may be configured to track the user metrics which are detected using the first temperature sensors 116a, the light sensors 116b, the Polyvinylidene fluoride sensors (PVDF) 116c, the second temperature sensors 116d, the pulse sensors 116e and the microphone 126. The user metrics obtaining module 204 may be configured to receive the user metrics captured/recorded using the first temperature sensors 116a, the light sensors 116b, the Polyvinylidene fluoride sensors (PVDF) 116c, the second temperature sensors 116d, the pulse sensors 116e and the microphone 126. The sleep score calculating module 206 may be configured to calculate the sleep score using the user metrics recorded by the non-intrusive sleep monitoring device 102a based on in-house-built algorithms. The sleep score generating module 208 may be configured to create the sleep score based on the user metrics detected by the non-intrusive sleep monitoring device 102a. Finally, the sleep quality deciding module 210 may be configured to determine the quality of sleep based on the sleep score generated by the sleep score generating module 208.

[00139] Referring to FIG. 3A and 3B are example diagrams 300a and 300b depicting the non-intrusive sleep monitoring device, in accordance with one or more exemplary embodiments. The diagram 300a includes the non-intrusive sleep monitoring device 102a, a power button 302, a LED indicator 304, and a charging port 306, and the buzzer 120. To activate device 102a, the user need to press the power button 302 until the buzzer 120 sounds. Once the power button 302 is released, the blue LED light starts blinking and the device 102a gets activated. To power off device 102a, the user need to long press the power button 302 until the red LED light blinks once and the device 102a gets deactivated.

[00140] The LED indicator 304 may be configured to flash the blue LED light for thirty seconds, accompanied by a buzzer sound, and then switches off when the Bluetooth is not connected. The LED indicator 304 may be configured to flash blue LED light that stays on for five seconds and then switches off when the Bluetooth is connected. The LED indicator 304 may be configured to blink red LED light once accompanied by a buzzer sound when battery 124 of device 102a is critically low. The LED indicator 304 may be configured to flash the red LED light when device 102a is charging. The LED indicator 304 may be configured to flash a green LED light when battery 124 of device 102a is fully charged.

[00141] The diagram 300b includes the non-intrusive sleep monitoring device 102a, and a strap 308. The intrusive sleep monitoring device 102a depicts the power button 302, the LED indicator 304. The strap 308 includes the PVDF sensors 116c, and the second temperature sensors 116d. The PDVF sensors 116c are integrated into the strap 308, which is placed optimally to obtain and optimizes the cost and reduce errors. The PDVF sensors 116c and the second temperature sensors 116d are integrated into the strap 308 to obtain more accurate metrics.

[00142] Referring to FIG. 4A is an example diagram 400a depicting the non-intrusive sleep monitoring device, and the second temperature sensors that are integrated into the sleep pad, in accordance with one or more exemplary embodiments. The diagram 400a includes the non-intrusive sleep monitoring device 102a, a sleep pad 402. The sleep pad 402 includes the PVDF sensors 116c, the second temperature sensors 116d, the pulse sensors 116e, the strap 308 and support bands 310a, 310b, 310c and 310d. The sleep pad 402 includes a sleeping surface 404a, a non-sleeping surface 404b, a top portion 406a, a bottom portion 406b, a right side 408a, and a left side 408b. The PDVF sensors 116c are integrated in the strap 308 and the strap 308 is attached on the sleep pad 402 to record the user metrics of the user while sleeping. The support bands 310a, 310b, 310c and 310d may be configured to hold the mattress and provide comfortable sleep to the user. The support bands 310a, 310b, 310c and 310d are reversible and ensures data accuracy.

[00143] In an exemplary embodiment of the present invention, the strap 308 may be positioned on the sleeping surface 404a of the sleep pad 402, or the non-sleeping surface 404b of the sleep pad 402; or sandwiched between the sleeping surface 404a and non-sleeping surface 404b of the sleep pad 402. The strap 308 may also include the Polyvinylidene fluoride (PVDF) sensors 116c, the second temperature sensors 116d and the pulse sensors 116e. The sleep pad 402 may be configured to enable the users to position the sleep pad 402 on the mattress and also enable the users to use the sleep pad 402 individually without the mattress while sleeping.

[00144] In an exemplary embodiment of the present invention, the PVDF sensors 116c, the second temperature sensors 116d and the pulse sensors 116e are integrated into the sleep pad 402 at a predetermined distance to provide a comfortable sleep while the users sleep gets monitored. The predetermined distance may include, placing sensors on chest height to maintain accuracy for recording the user metrics. The PVDF sensors 116c, the temperature sensors 116d, and the pulse sensors 116e are positioned on the sleeping surface 404a; or on the non-sleeping surface 404b at a 15mm distance from the top portion 406a of the sleep pad 402; the bottom portion 406b of the sleep pad 402 to provide a comfortable sleep while the users sleep gets monitored.

[00145] Referring to FIG. 4B is another example of diagram 400b depicting a schematic representation of an installation of the non-intrusive sleep monitoring device on the mattress, in accordance with one or more exemplary embodiments. The diagram 400b includes the non-intrusive sleep monitoring device 102a, the sleep pad 402, the PVDF sensors 116c, the second temperature sensors 116d, the pulse sensors 116e, the strap 308 and the support bands 310a (Not shown), 310b, 310c, and 310d. The non-intrusive sleep monitoring device 102a may be configured to enable the user to place the non-intrusive sleep monitoring device 102a on top of the sleep pad 402, or side of the sleep pad 402, and or down of the sleep pad 402. The non-intrusive sleep monitoring device 102a may be configured to allow the users to use the strap 308 provided to affix the non-intrusive sleep monitoring device 102a in the desired position. The PDVF sensors 116c, the second temperature sensors 116d, and the pulse sensors 116e may be integrated into the strap 308 of the sleep pad 402 to record the user metrics of the user while sleeping and the sleep pad 402 is positioned on the mattress 402 using the support bands 310a, 310b, 310c and 310d to hold the mattress tightly and helps to provide accurate user metrics.

[00146] The non-intrusive sleep monitoring device 102a includes the first temperature sensors 116a, the light sensors 116b, and the microphone 126 may be configured to detect and measure the user metrics of the users while sleeping. The non-intrusive sleep monitoring device 102a may be configured to enable the users to place the non-intrusive sleep monitoring device 102a on the sleeping surface 404a of the sleep pad 402, or the non-sleeping surface 404b of the sleep pad 402; the top portion 406a of the sleep pad 402; and a bottom portion 406b of the sleep pad 402; right side 408a of the sleep pad 402, and left side 408b of the sleep pad 402. The PVDF sensors 116c are positioned between 24-28 inches from the top portion 406a of the sleep pad 402 to ensure the PVDF sensors 116c align with the chest area of the users.

[00147] Referring to FIG. 5A is an example diagram 500a depicting the non-intrusive sleep monitoring device with the sensors that are integrated into the sleep pad for areal one user, in accordance with one or more exemplary embodiments. The diagram 500a includes the non-intrusive sleep monitoring device 102, the PVDF sensors 116c, the strap 308, the sleep pad 402, and a user 502a. The non-intrusive sleep monitoring device 102a may be configured to enable the user 502a to place device 102a on top, or side, or down of the sleep pad 402. The non-intrusive sleep monitoring device 102a may be configured to enable the user 502a to use the strap 308 provided to affix the device 102a in the desired position. The PDVF sensors 116c are embedded in the strap 308, and the strap 308 is attached to the sleep pad 402 to record the accurate user metrics of the users while sleeping.

[00148] Referring to FIG. 5B is another example diagram 500b depicting the non-intrusive sleep monitoring device with the sensors that are integrated into the sleep pad for area two users, in accordance with one or more exemplary embodiments. The diagram 500b includes the non-intrusive sleep monitoring device 102a, the PVDF sensors 116c, the second temperature sensors 116d, the strap 308, the sleeping pad 402, and users 502a and 502b. The non-intrusive sleep monitoring device 102a may be configured to enable the users 502a and 502b to place device 102a on top, or side, or down of the sleep pad 402. The non-intrusive sleep monitoring device 102 may be configured to enable the users 502a and 502b to use the strap 308 provided to affix the device 102a in the desired position. The PDVF sensors 116c are embedded in the strap 308, and the strap 308 attached to the sleep pad 402 may record the user metrics of the users 502a and 502b while sleeping. The non-intrusive sleep monitoring device 102a may be configured to calculate the sleep score based on the user metrics and decide the quality of the user's sleep based on the calculated sleep score. The non-intrusive sleep monitoring device 102a may be configured to perform the calculations based on in-house built algorithms, and this user metrics information is relayed on the computing device 106 by the user metrics accessing module 108.

[00149] Referring to FIG. 6A and FIG. 6B are example diagrams 600a and 600b depicting the non-intrusive sleep monitoring device and the sensors integrated into the sleep pad, in accordance with one or more exemplary embodiments. The diagram 600a and 600b includes the active electrode area of the PDVF sensors 116c is 698.5mm long and 3mm wide. This helps in increased sensitivity and also increased accuracy of the user metrics captured. The PVDF sensors 116c used is 50 microns in thickness. This adds to the flexibility, which again improves accuracy. It also helps with accidental folds over the sensors making it suitable for day-to-day usage with normal wear and tear. Also, unlike any other products, we do not integrate electronics into the sleep pad 402 (which is impractical, has health concerns, and the user can't sleep on the electronics in the pad/mattress).

[00150] Referring to FIG. 6C is an example graph 600c depicting the user's heartbeat rate, in accordance with one or more exemplary embodiments. The diagram 600c depicts a time interval of 10-20s, showing individual heartbeats, repeating at 1.1 Hz (67bpm) using the 1-3 Hz range. To accurately calculate the heart rate, a lower limiting frequency in the range of 1 – 3 Hz is used with the pulse sensor 116e.

[00151] Referring to FIG. 7 is an example diagram 700 depicting a schematic representation of the non-intrusive sleep monitoring device establishing communication with the computing device, in accordance with one or more exemplary embodiments. The diagram 700 includes the non-intrusive sleep monitoring device 102a, the sleep pad 102b, the strap 308, the PVDF sensors 116c, the central database 112, and the computing device 106. The non-intrusive sleep monitoring device 102a and the central database 112 may be configured to establish communication with the computing device 106 over the network 104. The central database 112 may be configured to receive user metrics from the non-intrusive sleep monitoring device 102a using the sensors 116a, 116b, 116c, 116d, 116e and the microphone 126. The central database 112 may be configured to convert these user metrics into respirator rate, heart rate and body movements, and the like. These user metrics are used to calculate sleep cycles for the user. Finally, the central database 112 may be configured to assign a sleep score based on the recorded user metrics.

[00152] The computing device 106 includes the user metrics accessing module 108 may be configured to receive all the user metrics information from the cloud server110/the central database 112 and relays the user metrics information to the users. The user metrics accessing module 108 may be configured to enable the users to view the sleep score on the computing device 106 and improves the sleep quality. The user metrics accessing module 108 may also be configured to provide the users an opportunity to talk to our in-house sleep consultant.

[00153] Referring to FIG. 8A and FIG. 8B are example screens 800a and 800b depicting a user sign-in and sign-up screen of the user metrics accessing module, in accordance with one or more exemplary embodiments. The screens 800a and 800b includes a first name bar 802a, a last name bar 802b, and a phone number bar 802c. The first name bar 802a, the last name bar 802b, and the phone number bar 802c may be configured to enable the users to input the user details for registering to the user metrics accessing module 108 on the computing device 106. The user details may include, but not limited to, first name, last name, mobile number, address, and the like.

[00154] The user metrics accessing module 108 may be configured to enable the users to open on the computing device 106 and allow the users to follow the instructions for signing up and creating their own user metrics monitoring account. The user metrics accessing module 108 may be configured to guide the users to connect with the non-intrusive sleep monitoring device 102a through the network 104.

[00155] Referring to FIG. 8C is an example screen 800c depicting an additional information screen of the user metrics accessing module, in accordance with one or more exemplary embodiments. The screen 800c includes a height bar 804a, a weight bar 804b, and a continue option 806. The height bar 804a and the weight bar 804b may be configured to enable the users to input the height and weight information to complete the profile verification. Upon providing the height and weight information, users must select the continue option 806.

[00156] Referring to FIG. 8D is an example screen 800d depicting a user guide screen of the user metrics accessing module, in accordance with one or more exemplary embodiments. The screen 800d includes a next option 808. The next option 808 may be configured to enable the users to select upon following the instructions mentioned on the guide screen.

[00157] Referring to FIG. 8E and FIG. 8F are example screens 800e and 800f depicting the search screens by the user metrics accessing module on the computing device, in accordance with one or more exemplary embodiments. The screens 800e and 800f include a cancel option 810, and a continue option 812. In addition, the next option 808 may be configured to enable the computing device 106 to search the non-intrusive sleep monitoring device 102a using the network 104.

[00158] Referring to FIG. 8G is an example screen 800g depicting a successful connection screen between the non-intrusive sleep monitoring device and the computing device, in accordance with one or more exemplary embodiments. The screen 800g includes the next option 808. The next option 808 may be configured to enable the users to access the user metrics information on the computing device 106 upon establishing a successful connection between the non-intrusive sleep monitoring device 102a and the computing device 106 over the network 104. The non-intrusive sleep monitoring device 102 may be activated when the user long press the power button 302 until the buzzer 126 sounds. Once the power button 302 is released, the blue LED light starts blinking and the device 102a gets activated.

[00159] The LED light on the non-intrusive sleep monitoring device 102a turns BLUE once the device 102a is connected to the user metrics accessing module 108 on the computing device 106. After a moment, the blue LED light automatically turns off, so that the user may not be disturbed by the light while sleeping.

[00160] Referring to FIG. 8H and FIG. 8I are example screens 800h and 800i depicting home screens of the user metrics accessing module, in accordance with one or more exemplary embodiments. The screens 800h and 800i include a setup alarm option 814, a start monitoring option 816a, a stop monitoring option 816b, and a smart alarm option 816c. The setup alarm option 814 is configured to enable the users to adjust the time cycle and wake the user after a complete sleep. The start monitoring option 816 may be configured to allow the non-intrusive sleep monitoring device 102a to track the user metrics. To monitor the sleep of the users, open the user metrics accessing module 108 on the computing device 106, and click on ‘Start Monitoring' option 816a. Keep your computing device 106 within 10 meters of the non-intrusive sleep monitoring device 102a. The smart alarm option 816c may be configured to enable the user to activate the smart alarm function on the device 102a, where the device 102a trigger the smart alarm by monitoring the sleeping hours of the user. The sleeping hours may include the stages of sleep. The stages of sleep may include, light sleep, deep sleep, REM sleep.
[00161] When the user wakes up, simply click on the 'Stop Monitoring’ option 816b and within a few seconds, the users may be able to view the personalized 'Sleep Dashboard' and 'Sleep Score' on the computing device 106.

[00162] Referring to FIG. 8J is an example screen 800j depicting the sleep summary, in accordance with one or more exemplary embodiments. The screen 800j depicts a sleep summary of the user metrics while sleeping. The screen 800j includes a sleep score 818, in bed 820, and asleep 822. The user metrics include heart rate 824a, respiration rate 824b, went to bed 824c, and woke up 824d.

[00163] Referring to FIG. 8K is another example screen 800k depicting the sleep score per day, in accordance with one or more exemplary embodiments. The screen 800k depicts snoring icon 824e, coughing icon 824f, ambient sound icon 824g, temperature icon 824h, and surrounding light illuminance icon 824i. The snoring icon 824e may be configured to enable the user to view the sound detected by the microphone 126 as snoring when the sound is>40 Decibels with a duration of > 2000ms. The coughing icon 824f may be configured to enable the user to view the sound recorded by microphone 126 as coughing when the frequency is>100 Hz and with a duration of >100ms. The ambient sound icon 824e may be configured to enable the user to view all other sounds recorded by the microphone 126 as ambient sounds. The temperature icon 824h may be configured to enable the user to view the body temperature of the user while sleeping on the sleep pad 102b and the surrounding temperature of the room.

[00164] Referring to FIG. 8L is an example screen 800l depicting the dashboard of sleep score, in accordance with one or more exemplary embodiments. The screen 800l depicts the day's option 824a, week's option 824b, month's option 824c, and all of option 824d. The day's option 824a, the week’s option 824b, the month’s option 824c, and all option 824d may be configured to generate the graphs for the user metrics while sleeping. The day's option 824a, the week’s option 824b, the month’s option 824c, and all option 824d may be configured to enable the user to view the average graph of particular user metrics per day, per week, and per month.

[00165] The technical specifications of the non-intrusive sleep monitoring device 102 includes Product Model: non-intrusive sleep monitoring device crafted by sleepkraft; Sensor: PVDF; Device Dimensions: 85mm x 85mm x 15; Device Weight: 138 gms; Power Supply: /*.2V Lithium Power Battery; Communication Method: Bluetooth Low Energy; Communication Distance: 10 Meters; Battery Life: 7-8 days; Charge Current: 500mA; Sleep Pad Dimensions: Single size Double size: 72" x 36" x 1" 78" x 72” x 1"; sleep pad Materials: Polyurethane Foam; Weight of the Sleeping Pad including device: Single size/Double size: 2.3 Kg/+.5 Kg.

[00166] Referring to FIG. 9 is example of flow diagram 900 depicting a method for monitoring users' sleep using the non-intrusive sleep monitoring device, in accordance with one or more exemplary embodiments. The method 900 may be carried out in the context of the details of FIG. 1, FIG. 2, FIG. 3A, FIG. 3B, FIG. 4A, FIG. 4B, FIG. 5A, FIG. 5B, FIG. 6A, FIG. 6B, FIG. 6C, FIG. 7, FIG. 8A, FIG. 8B, FIG. 8C, FIG. 8D, FIG. 8E, FIG. 8F, FIG. 8G, FIG. 8H, FIG. 8I, FIG. 8J, FIG. 8K, and FIG. 8L. However, the method 900 may also be carried out in any desired environment. Further, the aforementioned definitions may equally apply to the description below.

[00167] The method commences at step 902, enabling the users to position the sleep pad on a mattress while sleeping. Thereafter at step 904, enabling the users to place a non-intrusive sleep monitoring device on at least one of the sleeping surface of the sleep pad, the non-sleeping surface of the sleep pad; the top portion of the sleep pad; and the bottom portion of the sleep pad; the right side of the sleep pad; and the left side of the sleep pad. Thereafter at step 906, detecting and measuring user metrics by the non-intrusive sleep monitoring device and the sensors integrated in the sleep pad while sleeping. Thereafter at step 908, sending the detected user metrics to the cloud server from the non-intrusive sleep monitoring device over the network. Thereafter at step 910, receiving the user metrics by the cloud server from the non-intrusive sleep monitoring device and calculating the sleep score based on the detected user metrics by the user metrics monitoring module. Thereafter at step 912, deciding the quality of sleep based on the sleep score calculated by the user metrics monitoring module. Thereafter at step 914, generating user metrics information found on the detected user metrics by the user metrics monitoring module. Thereafter at step 916, sending the sleep score and the user metrics information to the computing device from the cloud server. Thereafter at step 920, enabling one or more users to monitor or view the sleep score and the user metrics information by the user metrics accessing module on the computing device to take control of the user's sleep.

[00168] Referring to FIG. 10 is an another example of flow diagram 1000 depicting a method for monitoring users' sleep using the non-intrusive sleep monitoring device and allowing the users to take control of their sleep quality, in accordance with one or more exemplary embodiments. The method 900 may be carried out in the context of the details of FIG. 1, FIG. 2, FIG. 3A, FIG. 3B, FIG. 4A, FIG. 4B, FIG. 5A, FIG. 5B, FIG. 6A, FIG. 6B, FIG. 6C, FIG. 7, FIG. 8A, FIG. 8B, FIG. 8C, FIG. 8D, FIG. 8E, FIG. 8F, FIG. 8G, FIG. 8H, FIG. 8I, FIG. 8J, FIG. 8K, FIG. 8L, and FIG. 9. However, the method 1000 may also be carried out in any desired environment. Further, the aforementioned definitions may equally apply to the description below.

[00169] The method commences at step 1002, positioning a sleep pad on a mattress using support bands. Thereafter at step 1004, positioning a non-intrusive sleep monitoring device on the sleep pad and activating the non-intrusive sleep monitoring device to capture user metrics while sleeping. Thereafter at step 1006, capturing the user metrics of the users using the sleep pad and the non-intrusive sleep monitoring device. Thereafter at step 1008, calculating a sleep score by a processing device based on the user metrics captured the sleep pad and the non-intrusive sleep monitoring device. Thereafter at step 1010, sensing the sleep score to a computing device over a network. Thereafter at step 1012, enabling the users to monitor or view the sleep score and user metrics information by a user metrics accessing module on the computing device and allowing the users to take control of their sleep quality.

[00170] Referring to FIG. 10, FIG. 10 is a block diagram illustrating the details of digital processing system 1000 in which various aspects of the present disclosure are operative by execution of appropriate software instructions. Digital processing system 1000 may correspond to the computing device 106 (or any other system in which the various features disclosed above can be implemented).

[00171] Digital processing system 1000 may contain one or more processors such as a central processing unit (CPU) 1010, random access memory (RAM) 1020, secondary memory 1030, graphics controller 1060, display unit 1070, network interface 1080, an input interface 1090. All the components except display unit 1070 may communicate with each other over communication path 1050, which may contain several buses as is well known in the relevant arts. The components of Figure 10 are described below in further detail.

[00172] CPU 1010 may execute instructions stored in RAM 1020 to provide several features of the present disclosure. CPU 1010 may contain multiple processing units, with each processing unit potentially being designed for a specific task. Alternatively, CPU 1010 may contain only a single general-purpose processing unit.

[00173] RAM 1020 may receive instructions from secondary memory 1030 using communication path 1050. RAM 1020 is shown currently containing software instructions, such as those used in threads and stacks, constituting shared environment 1025 and/or user programs 1026. Shared environment 1025 includes operating systems, device drivers, virtual machines, etc., which provide a (common) run time environment for execution of user programs 1026.

[00174] Graphics controller 1060 generates display signals (e.g., in RGB format) to display unit 1070 based on data/instructions received from CPU 1010. Display unit 1070 contains a display screen to display the images defined by the display signals. Input interface 1090 may correspond to a keyboard and a pointing device (e.g., touch-pad, mouse) and may be used to provide inputs. Network interface 1080 provides connectivity to a network (e.g., using Internet Protocol), and may be used to communicate with other systems (such as those shown in Figure 1, a network 104) connected to the network 104.

[00175] Secondary memory 1030 may contain hard drive 1035, flash memory 1036, and removable storage drive 1037. Secondary memory 1030 may store the data software instructions (e.g., for performing the actions noted above with respect to the Figures), which enable digital processing system 1000 to provide several features in accordance with the present disclosure.

[00176] Some or all of the data and instructions may be provided on the removable storage unit 1040, and the data and instructions may be read and provided by removable storage drive 1037 to CPU 1010. Floppy drive, magnetic tape drive, CD-ROM drive, DVD Drive, Flash memory, a removable memory chip (PCMCIA Card, EEPROM) are examples of such removable storage drive 1037.

[00177] The removable storage unit 1040 may be implemented using medium and storage format compatible with removable storage drive 1037 such that removable storage drive 1037 can read the data and instructions. Thus, removable storage unit 1040 includes a computer readable (storage) medium having stored therein computer software and/or data. However, the computer (or machine, in general) readable medium can be in other forms (e.g., non-removable, random access, etc.).

[00178] In this document, the term "computer program product" is used to generally refer to the removable storage unit 1040 or hard disk installed in hard drive 1035. These computer program products are means for providing software to digital processing system 1000. CPU 1010 may retrieve the software instructions, and execute the instructions to provide various features of the present disclosure described above.

[00179] The term "storage media/medium" as used herein refers to any non-transitory media that store data and/or instructions that cause a machine to operate in a specific fashion. Such storage media may comprise non-volatile media and/or volatile media. Non-volatile media includes, for example, optical disks, magnetic disks, or solid-state drives, such as storage memory 1030. Volatile media includes dynamic memory, such as RAM 1020. Common forms of storage media include, for example, a floppy disk, a flexible disk, hard disk, solid-state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, NVRAM, any other memory chip or cartridge.

[00180] Storage media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between storage media. For example, transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus 1050. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.

[00181] Reference throughout this specification to “one embodiment”, “an embodiment”, or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrases “in one embodiment”, “in an embodiment” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

[00182] Although the present disclosure has been described in terms of certain preferred embodiments and illustrations thereof, other embodiments and modifications to preferred embodiments may be possible that are within the principles and spirit of the invention. The above descriptions and figures are therefore to be regarded as illustrative and not restrictive.

[00183] Thus the scope of the present disclosure is defined by the appended claims and includes both combinations and sub-combinations of the various features described hereinabove as well as variations and modifications thereof, which would occur to persons skilled in the art upon reading the foregoing description.
,CLAIMS:We Claim:
1. A non-intrusive system for monitoring user sleep, comprising:

a sleep pad and a non-intrusive sleep monitoring device, whereby the sleep pad comprises a sleeping surface, and a strap, wherein the strap positioned on at least one of: a sleeping surface of the sleep pad; and a non-sleeping surface of the sleep pad; and sandwiched between the sleeping surface and non-sleeping surface of the sleep pad, whereby the strap comprises one or more Polyvinylidene fluoride (PVDF) sensors, and second temperature sensors, the sleep pad configured to enable one or more users to position the sleep pad on a mattress and to use the sleep pad individually without the mattress while sleeping;

the non-intrusive sleep monitoring device comprises first temperature sensors, light sensors, and a microphone, wherein the first temperature sensors, the light sensors, and the microphone of non-intrusive sleep monitoring device and the Polyvinylidene fluoride (PVDF) sensors, the second temperature sensors of the sleep pad configured to detect and measure user metrics of the one or more users, whereby the non-intrusive sleep monitoring device configured to enable the one or more users to place the non-intrusive sleep monitoring device on at least one of: the sleeping surface of the sleep pad; the non-sleeping surface of the sleep pad; a top portion of the sleep pad; and a bottom portion of the sleep pad; right side of the sleep pad; and left side of the sleep pad, the non-intrusive sleep monitoring device comprises a network module configured to send detected user metrics to at least one of: a computing device; a cloud server; and a central database;

a computing device comprises a user metrics accessing module configured to receive a sleep score and user metrics information over a network.

2. The system as claimed in claim 1, wherein the PVDF sensors are integrated in the sleep pad at a predetermined distance from at least one of: the top portion of the sleep pad; the bottom portion of the sleep pad to provide a comfortable sleep while the one or more users sleep gets monitored.

3. The system as claimed in claim 1, wherein the PVDF sensors are positioned on at least one of: the sleeping surface; and the non-sleeping surface at 15mm distance from at least one of: the top portion of the sleep pad; the bottom portion of the sleep pad to provide a comfortable sleep while the one or more users sleep gets monitored.

4. The system as claimed in claim 1, wherein the PVDF sensors are positioned between 24-28 inches from the top portion of the sleep pad to ensure the PVDF sensors align with a chest area of the one or more users.

5. The system as claimed in claim 1, wherein the cloud server comprises:
an user metrics tracking module configured to track the user metrics detected using the first temperature sensors, the light sensors and the microphone of the non-intrusive sleep monitoring device and the second temperature sensors, the Polyvinylidene fluoride sensors (PVDF) of the sleep pad;

an user metrics obtaining module configured to receive the user metrics detected using the non-intrusive sleep monitoring device and the sleep pad;

a sleep score calculating module configured to calculate a sleep score based on the user metrics detected by the non-intrusive sleep monitoring device and the sleep pad;

a sleep score generating module configured to generate the sleep score based on the user metrics detected by the non-intrusive sleep monitoring device and the sleep pad;

a sleep quality deciding module configured to decide quality of sleep based on the sleep score generated by the sleep score generating module.

6. The system as claimed in claim 1, whereby the user metrics accessing module configured to enable the users to monitor the sleep score and the user metrics information on the computing device to take control of the one or more users sleep.

7. The system as claimed in claim 1, wherein the non-intrusive sleep monitoring device comprises a processing device is configured to store the user metrics for predetermined days and transfers to the cloud database over the network for storage.

8. The system as claimed in claim 1, wherein the first temperature sensors are configured to measure surrounding temperature to identify quality of sleep and send notifications to the computing device.

The system as claimed in claim 1, wherein the second temperature sensors of configured to capture body temperature of the one or more users and send notifications to the computing device if the one or more users have fever or cold sweats

9. The system as claimed in claim 1, wherein the light sensors configured to measure Lux (Illuminance) in a room and send notifications to the computing device when the Illuminance exceeds an optimal sleeping Illuminance of not more than five.

10. The system as claimed in claim 1, wherein the microphone configured to record all surrounding sounds during sleep and stores the user metrics on the non-intrusive sleep monitoring device, which improves accuracy and eliminates the dependence on the computing device.

11. The system as claimed in claim 1, wherein the non-intrusive sleep monitoring device comprises a buzzer configured to indicate at least one of: an active state; an inactive state; and a low battery level of the non-intrusive sleep monitoring device.

12. The system as claimed in claim 1, wherein the non-intrusive sleep monitoring device comprises a LED indicator configured to indicate at least one of: active state of the non-intrusive sleep monitoring device; and inactive state of the non-intrusive sleep monitoring device; low battery level of the non-intrusive sleep monitoring device; and when the non-intrusive sleep monitoring device is connected to the computing device.

13. The system as claimed in claim 1, wherein the non-intrusive sleep monitoring device comprises a battery that lasts for predetermined days on one single charge.

14. The system as claimed in claim 1, wherein the non-intrusive sleep monitoring device use internal algorithms to optimize the usage of the battery on one single charge using a sleep timer.

15. The system as claimed in claim 1, wherein the non-intrusive sleep monitoring device is configured to deactivate the network module throughout the night and activates when the one or more users wakes and leaves the sleeping pad which helps to improve and optimize the battery life on one single charge.

16. The system as claimed in claim 1, wherein the user metrics comprises surrounding temperature, body temperature, surrounding light illuminance, heart rate, respiration rate, body movements, and surrounding sounds.

17. The system as claimed in claim 1, wherein the user metrics information comprises sleep duration, sleeping/resting heart rate, sleep efficiency, sleep routine behaviour, sleep disturbance criteria, deep sleep, light sleep, rapid eye movement, when the user falls asleep, when the user gets up, snoring, coughing, total time awake on the bed, total time spent on the bed, ambient sound during sleep, fluctuations in heart rates during sleep, and fluctuations in respiration rate during sleep.

18. A method for monitoring users sleep, comprising:

enabling one or more users to position the sleep pad on a mattress and to use the sleep pad individually without the mattress while sleeping;

enabling the one or more users to place a non-intrusive sleep monitoring device on at least one of: the sleeping surface of the sleep pad; the non-sleeping surface of the sleep pad; a top portion of the sleep pad; and a bottom portion of the sleeping pad; right side of the sleep pad; and left side of the sleep pad;

detecting and measuring user metrics of the one or more users by a non-intrusive sleep monitoring device and the sleep pad, whereby the non-intrusive sleep monitoring device comprises a first temperature sensors, a light sensors, and microphone, the sleep pad comprises a strap positioned on at least one of: a sleeping surface of the sleep pad; and a non-sleeping surface of the sleep pad; and sandwiched between the sleeping surface and non-sleeping surface of the sleep pad, the strap comprises one or more Polyvinylidene fluoride (PVDF) sensors, second temperature sensors, and pulse sensors;

sending user metrics detected by the non-intrusive sleep monitoring device and the sleep pad to a cloud server using a network;

receiving the user metrics by the cloud server from the non-intrusive sleep monitoring device and the sleep pad and calculating a sleep score based on the detected user metrics by a user metrics monitoring module;

deciding a quality of sleep based on the sleep score calculated by the user metrics monitoring module;

generating user metrics information based on the detected user metrics by the user metrics monitoring module;

sending the sleep score and the user metrics information to a computing device from the cloud server; and

enabling the one or more users to monitor the sleep score and the user metrics information by a user metrics accessing module on the computing device to take control of the user's sleep.

19. The method as claimed in claim 18, comprising a step of calculating the user metrics by a processing device of the non-intrusive monitoring device.

20. The method as claimed in claim 18, comprising a step of obtaining user metrics information by calculating the user metrics using the processing device of the non-intrusive monitoring device.

21. The method as claimed in claim 18, sending the user metrics from the non-intrusive monitoring device to the computing device over the network and enabling the one or more users to view the user metrics information on the computing device.