Abstract: The present disclosure provides a wearable device (100) for automatic stress monitoring of a user, the device being adapted to be worn by the user on a wrist. The device (100) includes one or more sensors (102) configured to detect a set of attributes pertaining to one or more physiological parameters and activity status of the user and operational features of the device (100). The device (100) includes a controller (108), enabled to receive the set of attributes from the one or more sensors (102) through one or more communication units (110) and determine one or more stress indicators. Based on user inputs received from one or more input units (106), the controller (108) generates a set of output signals. The set of output signals are transmitted to one or more output units (106) through the one or more communication units (110) for generating a set of notifications related to the detected set of attributes and the one or more stress indicators.
Description:TECHNICAL FIELD
[0001] The present disclosure relates to the field of wearable fitness devices. In particular, the present disclosure provides a wearable device for automatic stress monitoring of a user.
BACKGROUND
[0002] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art.
[0003] Stress is a person’s physiological, emotional and psychological response to events of trauma, fear and hypertension. Undiagnosed stress can lead to severe health complications related to heart and psychological well-being. Hence regular stress monitoring is essential. Health monitoring at diagnostic clinics is difficult to be performed with guaranteed regularity due to multiple reasons like time management, prior commitments, work related matters, unavailability of diagnostic machines and/or technicians, inability of the patient to go out and the likes. Therefore it would be beneficial to develop a wearable system or device that can perform health monitoring sustainably and at an affordable cost.
[0004] Existing literature includes description of a wearable apparatus for measuring stress. Another disclosure deals with a measuring unit and method for measuring stress index of a user based on sensing of biological attributes. A wearable and flexible wristband with one or more biosensors and information transmission facility has also been disclosed. A smart watch having fitness monitoring features have been introduced to capture one or more physiological parameters of a user and wirelessly communicate with external devices for storage of said parameters. However, electrodermal activity (EDA) sensing from sweat has not been discussed in any of the disclosures.
[0005] Hence there is need in the art to develop a wearable device that can measure skin conductivity using an EDA sensor in addition to measurement of bioimpedance, skin temperature, heart rate and oxygen saturation level. The proposed device is portable, low cost, accommodates one or more sensors for monitoring of physiological attributes and is configured to determine one or more stress indicators. The device has remote operability, storage, input receptive, displaying and recalling features that are necessary to generate a health map of the user over a predetermined time span in addition to instant viewing.
OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0007] It is an object of the present disclosure to provide an automatic stress monitoring device adapted to be worn on a wrist by a user.
[0008] It is an object of the present disclosure to provide a wearable, automatic stress monitoring device that enables in detecting a set of attributes pertaining to one or more physiological parameters, activity status of the user and operational features of the device by one or more sensors.
[0009] It is an object of the present disclosure to provide a wearable, automatic stress monitoring device that enables a controller in receiving a first set of input signals pertaining to the set of attributes from the one or more sensors.
[0010] It is an object of the present disclosure to provide a wearable, automatic stress monitoring device that enables the controller in determining one or more stress indicators based on the received set of attributes.
[0011] It is an object of the present disclosure to provide a wearable, automatic stress monitoring device that enables one or more input units to receive user inputs pertaining to selection of the detected set of attributes and determined one or more stress indicators.
[0012] It is an object of the present disclosure to provide a wearable, automatic stress monitoring device that enables the controller in receiving a second set of input signals from one or more input units.
[0013] It is an object of the present disclosure to provide a wearable, automatic stress monitoring device that enables the controller in generating a set of output signals based on the first and the second set of input signals and the one or more stress indicators.
[0014] It is an object of the present disclosure to provide a wearable, automatic stress monitoring device that enables the controller in transmitting the set of output signals to one or more output units for generating a set of notifications.
[0015] It is an object of the present disclosure to provide a wearable, automatic stress monitoring device that enables the controller to exchange information with the one or more sensors, the one or more input units and the one or more output units through one or more communication units.
SUMMARY
[0016] The present disclosure relates to the field of wearable fitness devices. In particular, the present disclosure provides a wearable device for automatic stress monitoring of a user.
[0017] An aspect of the present disclosure is to provide an automatic stress monitoring device that may be adapted to be worn on a wrist by a user.
[0018] In an aspect, the device may include one or more sensors, one or more input units, one or more output units, one or more communication units and a controller.
[0019] In an aspect, the one or more sensors may be enabled to detect a set of attributes pertaining to one or more physiological parameters, activity status of the user and operational features of the device.
[0020] In an aspect, the controller may be configured to receive a first set of input signals pertaining to the set of attributes from the one or more sensors.
[0021] In an aspect, the controller may be enabled to determine one or more stress indicators based on the received set of attributes.
[0022] In an aspect, the one or more input units may be configured to receive user inputs pertaining to selection of the detected set of attributes and determined one or more stress indicators.
[0023] In an aspect, the controller may be facilitated to receive a second set of input signals generated by the one or more input units, the second set of input signals pertaining to user selection preference.
[0024] In an aspect, the controller may be enabled to generate a set of output signals based on the first and the second set of input signals and the one or more stress indicators.
[0025] In an aspect, the controller may be configured to transmit the set of output signals to one or more output units for generating a set of notifications.
[0026] In an aspect, the set of notifications may pertain to user selected set of attributes detected by the one or more sensors and one or more stress indicators determined by the controller.
[0027] In an aspect, the set of notifications may pertain to any or a combination of audio, visual and vibratory signals.
[0028] In an aspect, the controller may include one or more processors that may be enabled to exchange information with the one or more sensors, the one or more input units and the one or more output units through the one or more communication units.
[0029] In an aspect, the controller may be facilitated to access one or more user devices through the one or more communication units, the one or more user devices being configured to remotely accommodate the one or more input and output units.
[0030] In an aspect, the controller may be enabled to retrievably store the detected set of attributes and determined one or more stress indicators in a database coupled to any or a combination of the one or more processors and the one or more user devices.
[0031] In an aspect, the device may include one or more power supply units that may be facilitated to deliver electric power to the controller, the one or more sensors, the one or more communication units and the one or more input and output units.
BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
[0032] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0033] The diagrams described herein are for illustration only, which thus are not limitations of the present disclosure, and wherein:
[0034] FIG. 1 illustrates exemplary block diagram of the proposed wearable device for automatic stress monitoring (100), to elaborate upon its working in accordance with an embodiment of the present disclosure.
[0035] FIG. 2 illustrates exemplary functional components (200) of a controller (108) of the proposed wearable device for automatic stress monitoring (100), in accordance with an embodiment of the present disclosure.
[0036] FIG. 3 illustrates exemplary flow diagram (300) of the proposed wearable device for automatic stress monitoring (100), in accordance with an embodiment of the present disclosure.
[0037] FIG. 4 illustrates exemplary logic diagram (400) for automatic stress determination by the proposed wearable device for automatic stress monitoring (100), in accordance with an embodiment of the present disclosure.
DETAILED DESCRIPTION
[0038] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[0039] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0040] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0041] While embodiments of the present invention have been illustrated and described in the accompanying drawings, the embodiments are offered only in as much detail as to clearly communicate the disclosure and are not intended to limit the numerous equivalents, changes, variations, substitutions and modifications falling within the spirit and scope of the present disclosure as defined by the appended claims.
[0042] The present disclosure relates to the field of wearable fitness devices. In particular, the present disclosure provides a wearable device for automatic stress monitoring of a user.
[0043] FIG. 1 illustrates exemplary block diagram of the proposed wearable device for automatic stress monitoring (100), to elaborate upon its working in accordance with an embodiment of the present disclosure.
[0044] In an embodiment, the wearable device for automatic stress monitoring (100) (interchangeably known as the device (100), herein) may include one or more sensors (102) that may be configured to measure of one or more physiological parameters and activity status of the user and correspondingly generate a first set of input signals. By way of example, the one or more physiological parameters may include any or a combination of electro-dermal activity, blood pressure, skin temperature, oxygen saturation, bioimpedance, blood glucose, hydration level of body and the likes. Status of intensity of physical activity of the user may be detected from heart rate, respiration rate, pulse rate, number of steps taken, displacement, orientation, tilt, rate and directions of movement and the likes. The one or more sensors (102) may also pertain to detection of one or more operational features of the device like but not limited to geographical location, presence of user devices and obstacles within a predetermined range of distances from the device (100), presence of air pollutants beyond permissible level and altitude. In an exemplary embodiment, the one or more sensors (102) may include any or a combination of contact and contactless thermal sensor, pulse oximeter, barometer, optical pulse/heart rate monitor, piezoresistive respiratory rate sensors, glucometer, electrodermal activity sensor, hydration level sensor, bioimpedance sensor, calorimeter, pHmeter, pedometer, gyroscope, accelerometer, magnetometer, altimeter, infrared and ultrasonic range sensors, global positioning system sensor (GPS), air pollution sensor, gas sensor and the likes.
[0045] In an embodiment, the device may include one or more output units (104) that may be configured to generate a set of notifications pertaining to visual, auditory and vibratory signals in response to a set of output signals. In an embodiment, the set of output signals may correspond to one or more health attributes, activity statuses and stress indicators of the user and one or more operational features of the device (100), the one or more health attributes, activity statuses, stress indicators and operational features being selected based on user inputs. By way of example, the one or more output units (104) may include liquid crystal display (LCD) screens, light emitting diodes (LED), flashing displays, scrolling displays, diode display indicators, vibration motors, speakers, buzzers, woofers, wireless earphones and headpieces and the likes. The one or more output units (104) may be enabled to display alphanumeric text, sound signals including prerecorded voice messages and alarm ringtones, flashing and constant lights and the likes.
[0046] In an embodiment, the device (100) may include one or more input units (106) that may be configured to receive a set of user inputs and correspondingly generate a second set of input signals. The user inputs may be received as electrical and voice signals and the second set of input signals may correspond to computer readable digital signals. The second set of input signals may pertain to selection of any or a combination of displayable and transmittable one or more health attributes, activity statuses, stress indicators of the user and one or more operational features of the device (100) to facilitate generation of the set of output signals. By way of example, the one or more input units (106) may include devices like but not limited to tact switches, slide switches, on-off switches, push switches, keys with touch sensitive layer, touchpad, touch panel, touchscreen, joystick, roller ball, microphone and the likes.
[0047] In an embodiment, the device (100) may include a controller (108) that may be communicatively coupled to the one or more sensors (102), the one or more output units (104) and the one or more input units (106). The controller (108) may be enabled to receive the first and the second set of input signals from the one or more sensors (102) and the one or more input units (106) respectively and correspondingly generate a set of output signals. The set of output signals may be transmitted to the one or more output units (104) by the controller (108). The controller may also be enabled to determine one or more stress indicators from the first set of input signals.
[0048] In an embodiment, the device (100) may include one or more communication units (110) that may be configured to enable transfer of information from the one or more input units (106) and the one or more sensors (102) to the controller (108) and from the controller (108) to the one or more output units (106). The one or more communication units (110) may include transceivers pertaining to any or a combination of Wireless local area network (WLAN), Wide area network (WAN), Wireless fidelity (Wi-fi), Worldwide interoperability for microwave access (WiMAX), cellular communication network, Internet, and the likes. The communication network formed by the one or more communication units (110) may be a wireless network, a wired network or a combination thereof that may be implemented as one of the different types of networks, such as Intranet, Local Area Network (LAN), Wide Area Network (WAN), Internet, and the likes. Further, the communication network may either be a dedicated network or a shared network. The shared network may represent an association of the different types of networks that may use variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP) and the likes. In an exemplary embodiment, the one or more communication units (110) may include hardware like but not limited to Bluetooth module, Zigbee module, WLAN module, adapters, routers, antennas and repeaters.
[0049] In an embodiment, the one or more sensors (102), the one or more output units (104), the one or more input units (106), the one or more communication units (110) and the controller (108) may be operatively coupled to one or more power supply units. The one or more power supply units pertain to any or a combination of batteries, inverters and power lines, the one or more power supply units being configured to deliver electric power to the one or more sensors (102), the one or more output units (104), the one or more input units (106), the one or more communication units (110) and the controller (108). The electric power generated by the one or more power supply units may include any or a combination of direct current, alternating current, solar current, bio-gas current and wind current.
[0050] FIG. 2 illustrates exemplary functional components (200) of a controller (108) of the proposed wearable device for automatic stress monitoring (100), in accordance with an embodiment of the present disclosure.
[0051] In an embodiment, the controller (108) may include one or more processor(s) (202). The one or more processor(s) (202) may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, the one or more processor(s) (202) may be configured to fetch and execute computer-readable instructions stored in a memory (204) of the processing unit (102). The memory (204) may store one or more computer-readable instructions or routines, which may be fetched and executed to create or share the data units over a network service. The memory (204) may comprise any non-transitory storage device including, for example, volatile memory such as RAM, or non-volatile memory such as EPROM, flash memory, and the like.
[0052] In an embodiment, the controller (108) may also comprise an interface(s) (206). The interface(s) (206) may comprise a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) (206) may facilitate communication of the controller (108) with various components coupled to the system (100) such as the one or more sensors (102), the one or more input units (106) and the one or more output units (104) through the one or more communication units (110). The interface(s) (206) may also provide a communication pathway for one or more components of the controller (108). Examples of such components include, but are not limited to, memory (204) and the database (222).
[0053] In an embodiment, the processing engine(s) (208) of the controller (108) may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the first processing engine(s) (208). In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) (208) may be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) (208) may comprise a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) (208). In such examples, the controller (108) may comprise the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the controller (108) and the processing resource. In other examples, the processing engine(s) (208) may be implemented by electronic circuitry.
[0054] In an embodiment, the processing engine (208) may include a physiological parameter determination unit (210) that may be configured to receive a first set of input signals from the one or more sensors (102). The one or more processors (202) may be enabled to extract a first set of data packets pertaining to physiological parameters of the user from the received first set of input signals. The first set of input signals may be any or a combination of voltage signal, current signal, resistive signal, capacitive signal, inductive signal and the likes. By way of example, the physiological parameters represented by the first set of data packets may include any or a combination of skin temperature, blood pressure, bioimpedance, electrodermal activity, hydration level of body, oxygen saturation in blood vessels and the likes. The one or more physiological parameters individually or in a combination may be indicative of one or more stress factors.
[0055] In an embodiment, the processing engine (208) may include an activity status determination unit (212) that may be configured to determine activity status and intensity of the user from the received first set of input signals. The first set of input signals may pertain to measurement of activity indicators like but not limited to heart rate, respiration rate, pulse rate, number of steps taken, displacement, orientation, tilt, rate and directions of movement and the likes. In an exemplary embodiment, the one or more processors (202) of the controller (108) may be enabled to determine if the user is involved in strenuous physical activity such as combat, contact sports, work out, hiking, mountaineering and the likes or if the user is accustomed to a sedentary lifestyle with little or no movement. Activity status of the user may be used as an important associate factor in determining one or more stress indicators in addition to the measured physiological parameters.
[0056] In an embodiment, the one or more processors (202) may also be enabled to determine one or more operational features of the device (100) pertaining to the first set of data packets, the operational features including but not limited to detection of obstacles, users and user devices located within a predetermined distance from the device (100), geographical location, altitude of the device and level of pollutants present in the immediate surroundings of the device. In an embodiment, the one or more operational features of the device (100) may be essential to calculation of one or more stress indicators and a set of functionalities of the device (100) including but not limited to receiving user inputs displaying a set of attributes requested by the user, storage of user information for a predetermined duration and generating a health profile map of one or more users based on information collected over a predefined amount of time. By way of example, if the user is located at around 12000 feet from the sea level and the measured pulse rate is higher than the threshold, it is not a severe stress indicator compared to if the user is near the sea level.
[0057] In an embodiment, the processing engine (208) may include a comparison (214) that may be configured to receive the first set of data packets and compare, the first set of data packets with a second set of data packets. The one or more processors (202) may correspondingly generate a third set of data packets. The second set of data packets may correspond to a set of threshold values of the one or more health attributes of the user and one or more operational features of the device (100), the second set of data packets being received from the database (222), operatively coupled to the one or more processors (202). The third set of data packets may be binary values indicating whether the first set of data packets are in excess of their respective threshold values. In an embodiment, the following table may give an exemplary indication of average values of the second set of data packets for one or more physiological parameters of an adult male user.
Body Parameter Sensor Name Measuring Parameter Sensor Range Operating Voltage Human Threshold
Sweat EDA Sensor Skin Conductivity 0 -25µ Siemens
4.5-5.5V 1mS-1µS
Oxygen Rate Pulse Oximeter SPO2 0-100% 1.7-2V 95-100%
Temperature Skin Temperature Sensor Skin Temp 32-122oF 2.7-3.3V 92.3-98.4oF
Body Fat Bio Impedance Sensor Bio impedance 0?-1500M? 1.1-2V 1K?-10M?
[0058] In an embodiment, the processing engine (208) may include a decision unit (216) that may be configured to determine one or more stress indicators from the generated third set of data packets. The one or more stress indicators may pertain to a fourth set of data packets generated by the one or more processors (202). In an exemplary embodiment, a predetermined combination of the one or more health attributes of the user and the operational features of the device (100) corresponding to the first set of data packets may be used for determination of one or more stress indicators. By way of example, the following table may illustrate a stress calculation procedure, the digital ‘0’ values indicating the corresponding parameters being within predefined threshold values and digital ‘1’ indicating the corresponding parameters being in excess of the predetermined threshold values. Presence of stress may be indicated by the output Y being ‘1’ and ‘0’ otherwise.
EDA Sensor
(A) Pulse Oximeter Heart Rate Sensor
(B) Skin Temperature Sensor
(C) Bio Impedance Sensor
(D) Stress
(Y)
0 0 0 0 0
0 0 0 1 0
0 0 1 0 0
0 0 1 1 0
0 1 0 0 0
0 1 0 1 0
0 1 1 0 0
0 1 1 1 1
1 0 0 0 0
1 0 0 1 0
1 0 1 0 0
1 0 1 1 1
1 1 0 0 0
1 1 0 1 1
1 1 1 0 1
1 1 1 1 1
[0059] In an embodiment, the comparison unit (214) may also be enabled to determine the user selected set of attributes to be displayed. The one or more processors (202) may be configured to extract a fifth set of data packets from the second set of input signals received from the one or more input units (106). The fifth set of data packets may pertain to selection of the one or more stress indicators and health attributes of the user and operational features of the device (100), based on the received second set of input signals. The fifth set of data packets may be compared with a sixth set of data packets and correspondingly a seventh set of data packets may be generated. The sixth set of data packets may correspond to a predetermined set of displayable entities pertaining to the one or more stress indicators and health attributes of the user and operational features of the device. The sixth set of data packets may be received from the database (222).
[0060] In an embodiment, the comparison unit (214) may also be enabled to determine the user selected set of attributes to be displayed. The one or more processors (202) may be configured to extract a fifth set of data packets from the second set of input signals received from the one or more input units (106). The fifth set of data packets may pertain to selection of the one or more stress indicators and health attributes of the user and operational features of the device (100), based on the received second set of input signals. The fifth set of data packets may be compared with a sixth set of data packets and correspondingly a seventh set of data packets may be generated. The sixth set of data packets may correspond to a predetermined set of displayable entities pertaining to the one or more stress indicators and health attributes of the user and operational features of the device. The sixth set of data packets may be received from the database (222).
[0061] In an embodiment, the one or more processors (202) may include an alarm generation unit (218) that may be enabled to generate a set of alarm signals. The set of alarm signals may be related to any or a combination of device malfunction, shortage of power resource, detection of acute stress, shortage of storage space and the likes. The set of alarm signals may be transmitted to the one or more output units (106).
[0062] In an embodiment, the processing engine (208) may include other units (220) that may be configured to implement functionalities that supplement actions performed by the one or more processors (202) of the controller (108). In an exemplary embodiment, such actions may include noise removal from the extracted sensor information, converting analog sensor readings into computer readable digital form, authenticating users for retrieval of stored health information.
[0063] In an exemplary embodiment, the other units (220) may be configured to generate a set of output signals from the third, fourth and the seventh set of data packets, the seventh set of data packets being in computer readable form. The set of output signals may then be transmitted to the one or more output units (104) using one or more communication units (110). In an exemplary embodiment, the third, fourth and seventh set of data packets may be transmitted using the interface (206) to the database (222) for storage. The stored information may pertain to one or more users and one or more predetermined durations.
[0064] In an embodiment, the one or more processors (202) may be enabled to establish a communication pathway with one or more user devices through the one or more communication units (110). By way of example the one or more user devices may pertain to smart phones, laptops, personal computers, handheld digital assistants, tablet PCs and the likes. The one or more processors (202) may be facilitated to remotely access any or a combination of input, output and storage facilities of the one or more user devices. By way of example, the one or more user devices may be detected by the one or more sensors (102). In an exemplary embodiment, the one or more processors (202) may be enabled to remotely access functions of the one or more input units (106), the one or more output units (104) and the database (222) from input-output and storage units associated with the remote user devices.
[0065] FIG. 3 illustrates exemplary flow diagram (300) of the proposed wearable device for automatic stress monitoring (100), in accordance with an embodiment of the present disclosure.
[0066] In an illustrative embodiment, the proposed wearable device for automatic stress monitoring (not shown) may include one or more sensors (102) including any or a combination of skin temperature sensor, high precision pressure sensor, pulse oximeter heart rate sensor, bioimpedance sensor, electrodermal activity sensor, gyroscope, proximity sensor, and ultrasonic sensor for detecting one or more physiological parameters, activity statuses and operational features of the device. By way of example, the proximity sensor may be used to activate the device from sleep mode when the user proximity is detected, thereby saving power consumption. The ultrasonic sensor may be used for detection of obstacles within a predetermined distance from the user wearing the device, the obstacle detection being essential during physical activity. Gyroscope may be used to detect movement, level of physical activity, direction, orientation and tilt of the user’s wrist. The bioimpedance sensor may be used to measure the amount of body fat and the electrodermal activity sensor may be used to detect small electrical changes pertaining to stress level in sweat of the user’s skin.
[0067] In an embodiment, the controller (108) may be an Arduino programming board that may be configured to receive information from the one or more sensors (102). The controller (108) may be coupled to a Bluetooth communication link (not shown) for communicating with the one or more sensors (102) and one or more output units (104). The one or more output units may include an organic light emitting diode display. The controller (108) may also be communicatively coupled to one or more input units (not shown) for receiving user inputs pertaining to selection of one or more health attributes, stress indicators of the user and operational features of the device.
[0068] FIG. 4 illustrates exemplary logic diagram (400) for automatic stress determination by the proposed wearable device for automatic stress monitoring (100), in accordance with an embodiment of the present disclosure.
[0069] In an illustrative embodiment, a stress determining logic may include a logical ‘AND’ combination of any three physiological parameters of the one or more physiological parameters of the user followed by a logical ‘OR’ combination. Illustration in FIG 4 represents a set of four physiological parameters including, skin conductivity, optically detected oxygen saturation in blood, skin temperature and bioimpedance as inputs ‘A’, ‘B’, ‘C’ and ‘D’ respectively. Steps (402), (404), (406) and (408) may respectively indicate logical ‘AND’ combinations of inputs, ABD, ABC, ACD and BCD. At step (410), a logical ‘OR’ combination of outputs generated from the steps (402), (404), (406) and (408) may be taken to generate the stress indicator, ‘Y’. By way of example, each of the inputs ‘A’, ‘B’, ‘C’ and ‘D’ may be either a logical ‘0’ or a logical ‘1’ depending on whether the inputs are within the predetermined threshold levels or not.
[0070] As used herein, and unless the context dictates otherwise, the term "coupled to" is intended to include both direct coupling (in which two elements that are coupled to each other contact each other) and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms "coupled to" and "coupled with" are used synonymously. Within the context of this document terms "coupled to" and "coupled with" are also used euphemistically to mean “communicatively coupled with” over a network, where two or more devices are able to exchange data with each other over the network, possibly via one or more intermediary device.
[0071] The terms, descriptions and figures used herein are set forth by way of illustration only. Many variations are possible within the spirit and scope of the subject matter, which is intended to be defined by the following claims and their equivalents in which all terms are meant in their broadest reasonable sense unless otherwise indicated.
[0072] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
ADVANTAGES OF THE INVENTION
[0073] The present disclosure provides for an automatic stress monitoring device adapted to be worn on a wrist by a user.
[0074] The present disclosure provides for a wearable, automatic stress monitoring device that enables in detecting a set of attributes pertaining to one or more physiological parameters, activity status of the user and operational features of the device by one or more sensors.
[0075] The present disclosure provides for a wearable, automatic stress monitoring device that enables a controller in receiving a first set of input signals pertaining to the set of attributes from the one or more sensors.
[0076] The present disclosure provides for a wearable, automatic stress monitoring device that enables the controller in determining one or more stress indicators based on the received set of attributes.
[0077] The present disclosure provides for a wearable, automatic stress monitoring device that enables one or more input units to receive user inputs pertaining to selection of the detected set of attributes and determined one or more stress indicators.
[0078] The present disclosure provides for a wearable, automatic stress monitoring device that enables the controller in receiving a second set of input signals from one or more input units.
[0079] The present disclosure provides for a wearable, automatic stress monitoring device that enables the controller in generating a set of output signals based on the first and the second set of input signals and the one or more stress indicators.
[0080] The present disclosure provides for a wearable, automatic stress monitoring device that enables the controller in transmitting the set of output signals to one or more output units for generating a set of notifications.
[0081] The present disclosure provides for a wearable, automatic stress monitoring device that enables the controller to exchange information with the one or more sensors, the one or more input units and the one or more output units through one or more communication units.
We Claims:
1. A wearable device (100) for automatic stress monitoring, wherein the device is adapted to be worn by a user on a wrist, said device comprising :
one or more sensors (102), configured to detect one or more health attributes of the user and operational features of the device (100) and correspondingly generate a first set of input signals, wherein the one or more health attributes pertain to physiological parameters and activity status of the user;
one or more output units (104), configured to receive a set of output signals and correspondingly generate a set of notifications, wherein the set of output signals pertain to one or more health attributes and stress indicators of the user and operational features of the device, wherein the one or more stress indicators are determined by the device (100) based on the one or more health attributes and operational features;
one or more input units (106), configured to receive user inputs and correspondingly generate a second set of input signals, wherein the user inputs pertain to selection of any or a combination of entities related to one or more physiological parameters, activity status, stress indicators and operational features, wherein the selected entity corresponds to the set of notifications generated by the one or more output units (106);
a controller (108) communicatively coupled to the one or more sensors (102), the one or more output units (104) and the one or more input units (106), wherein the controller (108) comprises one or more processors (202) associated with a memory (204), the memory storing instructions executable by the one or more processors (202) and configured to:
receive the first set of input signals from the one or more sensors (102) and the second set of input signals from the one or more input units (106);
extract, a first set of data packets pertaining to the one or more health attributes of the user and operational features of the device (100) from the received first set of input signals;
compare, the first set of data packets with a second set of data packets and correspondingly generate a third set of data packets, wherein the second set of data packets correspond to a set of threshold values of the one or more health attributes of the user and operational features of the device (100), wherein the second set of data packets are stored in a database (222), operatively coupled to the one or more processors (202);
determine from the third set of data packets, one or more stress indicators and correspondingly generate a fourth set of data packets;
extract, a fifth set of data packets pertaining to selection of the one or more stress indicators and health attributes of the user and operational features of the device (100) based on the received second set of input signals;
compare, the fifth set of data packets with a sixth set of data packets and correspondingly generate a seventh set of data packets, wherein the sixth set of data packets correspond to a predetermined set of entities pertaining to the one or more stress indicators and health attributes of the user and operational features of the device (100), wherein the sixth set of data packets are stored in the database (222);
generate a set of output signals from the third, fourth and the seventh set of data packets and transmit the set of output signals to the one or more output units (104).
one or more communication units (110), coupled to the one or more sensors (102), the one or more output units (104), the one or more input units (106) and the controller (108), wherein the one or more communication units (110) are configured to transmit the first and the second set of inputs signals from the one or more sensors (102) and the one or more input units (106) to the controller (108) and the set of output signals from the controller (108) to the one or more output units (104).
2. The device (100) as claimed in claim 1, wherein the first set of data packets pertain to health attributes of the user and operational features of the device (100) including any or a combination of electro-dermal activity, blood pressure, skin temperature, heart rate, pulse rate, respiration rate, oxygen saturation, bio-impedance, blood glucose, hydration level of body, proximity to user, intensity of physical activity, movement, location, user devices and obstacles present within a predetermined range of distances from the device (100).
3. The device (100) as claimed in claim 1, wherein the set of output signals pertain to any or a combination of audio, visual and vibratory signals, wherein the set of notifications generated based on the set of output signals by the one or more output units (104) correspond to display of alphanumeric texts, broadcast of audio signals and generation of mechanical vibrations using one or more actuators.
4. The device (100) as claimed in claim1, wherein the controller (108) is enabled to retrievably store the third, fourth and seventh set of data packets in the database (222), wherein the stored information correspond to one or more users and one or more predetermined durations.
5. The device (100) as claimed in claim1, wherein the controller (108) is enabled to establish a communication pathway with one or more user devices through the one or more communication units (110), wherein the controller (108) is facilitated to remotely access any or a combination of input, output and storage functionalities of the one or more user devices, wherein the one or more user devices are detected by the one or more sensors (102) upon the one or more user devices being located within a predetermined distance from the device (100) and wherein the one or more user devices are configured to remotely accommodate the one or more input and output units.
6. The device (100) as claimed in claim1, wherein the second set of input signals are generated by the user through one or more input units (106) including any or a combination of switches, microphone, tactile sensitive hardware and remote input interfaces of the one or more user devices communicatively coupled to the controller (108) .
7. The device (100) as claimed in claim 1, wherein the fourth set of data packets is generated by the one or more processors (202) using a predetermined combination of the third set of data packets, wherein the predetermined combination is related to a predefined number of health attributes exceeding corresponding threshold values, wherein the threshold values depend on any or a combination of age, gender, lifestyle, and medical history of the user.
8. The device (100) as claimed in claim 1, wherein the one or more sensors (102), the one or more output units (104), the one or more input units (106), the one or more communication units (110) and the controller (108) are operatively coupled to one or more power supply units, wherein the one or more power supply units pertain to any or a combination of batteries, inverters and power lines, wherein the one or more power supply units are configured to deliver electric power to the device (100), wherein the electric power includes any or a combination of direct current, alternating current, solar current, bio-gas current and wind current.
| # | Name | Date |
|---|---|---|
| 1 | 202111042735-STATEMENT OF UNDERTAKING (FORM 3) [21-09-2021(online)].pdf | 2021-09-21 |
| 2 | 202111042735-POWER OF AUTHORITY [21-09-2021(online)].pdf | 2021-09-21 |
| 3 | 202111042735-FORM FOR STARTUP [21-09-2021(online)].pdf | 2021-09-21 |
| 4 | 202111042735-FORM FOR SMALL ENTITY(FORM-28) [21-09-2021(online)].pdf | 2021-09-21 |
| 5 | 202111042735-FORM 1 [21-09-2021(online)].pdf | 2021-09-21 |
| 6 | 202111042735-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [21-09-2021(online)].pdf | 2021-09-21 |
| 7 | 202111042735-EVIDENCE FOR REGISTRATION UNDER SSI [21-09-2021(online)].pdf | 2021-09-21 |
| 8 | 202111042735-DRAWINGS [21-09-2021(online)].pdf | 2021-09-21 |
| 9 | 202111042735-DECLARATION OF INVENTORSHIP (FORM 5) [21-09-2021(online)].pdf | 2021-09-21 |
| 10 | 202111042735-COMPLETE SPECIFICATION [21-09-2021(online)].pdf | 2021-09-21 |
| 11 | 202111042735-Proof of Right [01-10-2021(online)].pdf | 2021-10-01 |
| 12 | 202111042735-FORM 18 [26-07-2023(online)].pdf | 2023-07-26 |
| 13 | 202111042735-FER.pdf | 2024-09-11 |
| 14 | 202111042735-FORM-5 [11-03-2025(online)].pdf | 2025-03-11 |
| 15 | 202111042735-FORM-26 [11-03-2025(online)].pdf | 2025-03-11 |
| 16 | 202111042735-FER_SER_REPLY [11-03-2025(online)].pdf | 2025-03-11 |
| 17 | 202111042735-DRAWING [11-03-2025(online)].pdf | 2025-03-11 |
| 18 | 202111042735-CORRESPONDENCE [11-03-2025(online)].pdf | 2025-03-11 |
| 19 | 202111042735-COMPLETE SPECIFICATION [11-03-2025(online)].pdf | 2025-03-11 |
| 20 | 202111042735-CLAIMS [11-03-2025(online)].pdf | 2025-03-11 |
| 1 | SearchHistoryE_21-08-2024.pdf |