Description:
BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to a smart watch and particularly to a smart watch for depression detection.
Description of Related Art
[002] In recent years, there has been a growing recognition of the pressing need for innovative solutions to address widespread issue of depression, a critical health concern globally. Smart wearable has emerged as a potent tool to remotely monitor and effectively manage chronic conditions, providing convenience and timely intervention for patients. Traditional methods of monitoring depression often rely on periodic visits to healthcare facilities, which cannot offer a comprehensive understanding of a patient’s condition. This lack of continuous monitoring can result in insufficient management and potential complications.
[003] There is thus a need for an improved and advanced smart watch for depression detection that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[004] Embodiments in accordance with the present invention provide a smart watch for depression detection. The smart watch comprising: a casing. The casing comprising: a sensor adapted to measure body vitals of a user. The casing further comprising a display unit adapted to display the measured body vitals of the user. The casing further comprising a controller communicatively connected to the sensor. The controller is configured to: receive the measured body vitals of the user from the sensor; analyze the received body vitals of the user using a machine learning algorithm; classify the analyzed body vitals of the user by extracting features based on the analyzed received body vitals; identify a level of depression in the user based on the classified body vitals; and actuate an alert unit to transmit alerts to a user device when the identified level of depression is greater than a minimum threshold level.
[005] Embodiments in accordance with the present invention further provide a method for detecting depression using a smart watch. The method comprising steps of: receiving a measured body vitals of a user from a sensor; analyzing the received body vitals of the user using a machine learning algorithm; classifying the analyzed body vitals of the user by extracting features based on the analyzed received body vitals; identifying a level of depression in the user based on the classified body vitals; and actuating an alert unit to transmit alerts to a user device when the identified level of depression is greater than a minimum threshold level.
[006] Embodiments of the present invention may provide a number of advantages depending on their particular configuration. First, embodiments of the present application may provide a smart watch for depression detection.
[007] Next, embodiments of the present application may provide a smart watch for depression detection that is user friendly.
[008] Next, embodiments of the present application may provide a smart watch for depression detection that is cost effective and lifesaving in an emergency.
[009] These and other advantages will be apparent from the present application of the embodiments described herein.
[0010] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0011] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0012] FIG. 1 illustrates a block diagram of a smart watch for depression detection, according to an embodiment of the present invention;
[0013] FIG. 2 illustrates a block diagram of a controller of the smart watch, according to an embodiment of the present invention; and
[0014] FIG. 3 depicts a flowchart of a method for detecting depression using the smart watch, according to an embodiment of the present invention.
[0015] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0016] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the scope of the invention as defined in the claims.
[0017] In any embodiment described herein, the open-ended terms "comprising", "comprises”, and the like (which are synonymous with "including", "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of", “consists essentially of", and the like or the respective closed phrases "consisting of", "consists of”, the like.
[0018] As used herein, the singular forms “a”, “an”, and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0019] FIG. 1 illustrates a block diagram of a smart watch 100 for depression detection, according to an embodiment of the present invention. The smart watch 100 may be capable of monitoring various vital signs such as blood pressure, heart rate, and activity levels in real-time. The smart watch 100 may integrate advanced sensors and algorithms to provide continuous health tracking and timely alerts to help users manage their depression effectively. The smart watch 100 may also feature a user-friendly interface (not shown) for displaying relevant health data, providing insights, and encouraging healthy behaviors to maintain optimal blood pressure levels.
[0020] In an embodiment of the present invention, the smart watch 100 comprises a strap 102 and a casing 104. In an embodiment of the present invention, the strap 102 may be arranged with the casing 104 of the smart watch 100. The strap 102 may be adapted to secure the casing 104 of the smart watch 100 around a wrist of the user, in an embodiment of the present invention. According to embodiments of the present invention, the strap 102 may be constructed of any material such as, but not limited to, a metallic material, a wooden material, a ceramic material, a plastic material, and so forth. In a preferred embodiment of the present invention, the strap 102 may be constructed of a leather material. Embodiments of the present invention are intended to include or otherwise cover any material for construction of the strap 102, including known, related art, and/or later developed technologies.
[0021] In an embodiment of the present invention, the casing 104 may comprise a sensor 106, a display unit 108, an activation button 110, a controller 112, an alert unit 114, a user device 116, and a Universal Serial Bus (USB) port 118. According to embodiments of the present invention, the casing 104 may be constructed of any material such as, but not limited to, the metallic material, the wooden material, the ceramic material, the plastic material, and so forth. In a preferred embodiment of the present invention, the casing 104 may be constructed of a stainless-steel material. Embodiments of the present invention are intended to include or otherwise cover any material for construction of the casing 104, including known, related art, and/or later developed technologies.
[0022] In an embodiment of the present invention, the sensor 106 may be adapted to measure body vitals of the user. According to embodiments of the present invention, the sensor 106 may be, but not limited to, a pulse rate sensor, a body temperature sensor, a heart rate sensor, a blood pressure sensor, and so forth. In a preferred embodiment of the present invention, the sensor 106 may be an Electroencephalogram (EEG) sensor. Embodiments of the present invention are intended to include or otherwise cover any type of the sensor 106, including known, related art, and/or later developed technologies.
[0023] According to embodiments of the present invention, the sensor 106 may be adapted to measure the body vitals of the user such as, but not limited to, a pulse rate of the user, a body temperature of the user, a heart rate of the user, a blood pressure of the user, and so forth. Embodiments of the present invention are intended to include or otherwise cover any body vitals of the user that may be measured by the sensor 106, including known, related art, and/or later developed technologies.
[0024] In an embodiment of the present invention, the display unit 108 may be adapted to display the measured body vitals of the user. According to embodiments of the present invention, the display unit 108 maybe, but not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, an Organic Light Emitting Diode (OLED) display, and so forth. Further, the display unit 108 may feature a backlight that may be turned on and/or turned off based on a requirement. Embodiments of the present invention are intended to include or otherwise cover any type of the display unit 108 including known, related art, and/or later developed technologies.
[0025] In an embodiment of the present invention, the activation button 110 may be adapted to enable the user to activate the smart watch 100 to detect depression of the user.
[0026] In an embodiment of the present invention, the controller 112 may be communicatively connected to the sensor 106. The controller 112 may be configured to execute computer-executable instructions stored in a memory (not shown) to generate an output relating to the smart watch 100. According to embodiments of the present invention, the memory may be, but not limited to, a Random-Access Memory (RAM), a Static Random-Access Memory (SRAM), a Dynamic Random-Access Memory (DRAM), a Read-Only Memory (ROM), an Erasable Programmable Read-only Memory (EPROM), an Electrically Erasable Programmable Read-only Memory (EEPROM), a NAND Flash, a Secure Digital (SD) memory, a cache memory, a Hard Disk Drive (HDD), a Solid-State Drive (SSD), and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the memory, including known, related art, and/or later developed technologies. According to embodiments of the present invention, the controller 112 may be, but not limited to, a Programmable Logic Control (PLC) unit, a microprocessor, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the controller 112 including known, related art, and/or later developed technologies. In an embodiment of the present invention, components of the controller 112 may be explained in conjunction with FIG. 2.
[0027] In an embodiment of the present invention, the alert unit 114 may be configured to be actuated to transmit alerts when an identified level of depression may be greater than a minimum threshold level. The alerts transmitted by actuation of the alert unit 114 may be audible alerts that may be heard by the user, in an embodiment of the present invention. According to embodiments of the present invention, the alert unit 114 may be, but not limited to, a buzzer, an alarm, an earphone, a headphone, and so forth. In a preferred embodiment of the present invention, the alert unit 114 may be a speaker. Embodiments of the present invention are intended to include or otherwise cover any type of the alert unit 114, including known, related art, and/or later developed technologies.
[0028] In an embodiment of the present invention, the user device 116 may be configured to be actuated upon receiving the alerts from the alert unit 114. The user device 116 may be configured to transmit alerts to the user when the identified level of depression may be greater than the minimum threshold level, in an embodiment of the present invention.
[0029] In an embodiment of the present invention, the user device 116 may further be configured to call an ambulance or alert an emergency contact of the user when the identified level of depression approaches a maximum threshold level.
[0030] According to embodiments of the present invention, the user device 116 may be, but not limited to, a mobile phone, a smart wearable device, a laptop, a smartphone, a tablet computer, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the user device 116, including known, related art, and/or later developed technologies.
[0031] In an embodiment of the present invention, the Universal Serial Bus (USB) port 118 may be adapted to enable the smart watch 100 to be recharged through an external power source (not shown) by receiving a Universal Serial Bus (USB) cable (not shown).
[0032] FIG. 2 illustrates a block diagram of the controller 112 of the smart watch 100, according to an embodiment of the present invention. The controller 112 may comprise the computer-executable instructions in form of programming modules such as a data receiving module 200, a data analyzing module 202, a data classification module 204, a data identification module 206, and an alert module 208.
[0033] In an embodiment of the present invention, the data receiving module 200 may be configured to receive the measured body vitals of the user from the sensor 106. The data receiving module 200 may further transmit the received body vitals of the user to the data analyzing module 202, in an embodiment of the present invention.
[0034] In an embodiment of the present invention, the data analyzing module 202 may be activated upon receipt of the body vitals of the user from the data receiving module 200. In an embodiment of the present invention, the data analyzing module 202 may be configured to analyze the received body vitals of the user using a machine learning algorithm. The machine learning algorithm may be trained with a dataset of normal people or people suffering from depression. The analyzed body vitals of the user may further be transmitted to the data classification module 204, in an embodiment of the present invention.
[0035] In an embodiment of the present invention, the data classification module 204 may be activated upon receipt of the analyzed body vitals of the user from the data analyzing module 202. The classification module 204 may be configured to classify the analyzed body vitals of the user by extracting features based on the analyzed received body vitals, in an embodiment of the present invention. Upon extraction of the features from the analyzed body vitals of the user, the data classification module 204 may transmit the features to the data identification module 206.
[0036] In an embodiment of the present invention, the data identification module 206 may be activated upon receipt of the extracted features from the data classification module 204. The data identification module 206 may be configured to identify a level of depression in the user based on the classified body vitals, in an embodiment of the present invention. If the identified level of depression is greater than the minimum threshold level, then the data identification module 206 may transmit an activation signal to the alert module 208. Else, the data identification module 206 may reactivate the data receiving module 200 to continue receiving the measured body vitals of the user from the sensor 106.
[0037] In an embodiment of the present invention, the alert module 208 may be activated upon receipt of the activation signal from the data identification module 206. The alert module 208 may be configured to activate the alert unit 114 to transmit alerts to the user device 116, in an embodiment of the present invention. In an embodiment of the present invention, the alert module 208 may further be configured to call the ambulance, or alert the emergency contact of the user when the identified level of depression approaches the maximum threshold level.
[0038] In an embodiment of the present invention, the minimum threshold level may be set to a predefined value based on established criteria, such as medical guidelines or research findings. For example, the minimum threshold level may be set at a point indicating mild depression, beyond which intervention is deemed necessary to support the user's mental well-being. In an embodiment of the present invention, the maximum threshold level may be set to another predefined value, determined similarly by established criteria. This level could represent a severe state of depression, warranting urgent and potentially life-saving actions. For instance, reaching this level may trigger immediate emergency responses, such as contacting emergency services or informing designated contacts for timely assistance.
[0039] FIG. 3 depicts a flowchart of a method 300 for detecting depression using the smart watch 100, according to an embodiment of the present invention.
[0040] At step 302, the smart watch 100 may receive the measured body vitals of the user from the sensor 106.
[0041] At step 304, the smart watch 100 may analyze the received body vitals of the user using the machine learning algorithm.
[0042] At step 306, the smart watch 100 may classify the analyzed body vitals of the user by extracting features based on the analyzed received body vitals.
[0043] At step 308, the smart watch 100 may analyze the level of depression in the user based on the classified body vitals.
[0044] At step 310, the smart watch 100 may compare the level of depression with the minimum threshold level. If the identified level of depression is greater than the minimum threshold level, then the method 300 may continue to a step 312. Else, the method 300 may revert to the step 302.
[0045] At step 312, the smart watch 100 may acute the alert unit 114 to transmit the alerts to the user device 116. The smart watch 100 may further call the ambulance, or alert the emergency contact of the user when the identified level of depression approaches the maximum threshold level.
[0046] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0047] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims. , Claims:CLAIMS
I/We Claim:
1. A smart watch (100) for depression detection, comprising:
a casing (104) that comprises:
a sensor (106) adapted to measure body vitals of a user;
a display unit (108) adapted to display the measured body vitals of the user; and
a controller (112) communicatively connected to the sensor (106), characterized in that the controller (112) is configured to:
receive the measured body vitals of the user from the sensor (106);
analyze the received body vitals of the user using a machine learning algorithm;
classify the analyzed body vitals of the user by extracting features based on the analyzed received body vitals;
identify a level of depression in the user based on the classified body vitals; and
actuate an alert unit (114) to transmit alerts to a user device (116) when the identified level of depression is greater than a minimum threshold level.
2. The smart watch (100) as claimed in claim 1, wherein the alert unit (114) is configured to call an ambulance and/or alert an emergency contact of the user when the identified level of depression approaches a maximum threshold level.
3. The smart watch (100) as claimed in claim 1, wherein the controller (112) is configured to display the received body vitals on the display unit (108).
4. The smart watch (100) as claimed in claim 1, wherein the machine learning algorithm is trained with a dataset of normal people or people suffering from depression.
5. The smart watch (100) as claimed in claim 1, comprises a strap (102) arranged with the casing (104) to secure the smart watch (100) around a wrist of the user.
6. The smart watch (100) as claimed in claim 1, wherein the sensor (106) is an Electroencephalogram (EEG) sensor.
7. The smart watch (100) as claimed in claim 1, comprises a Universal Serial Bus (USB) port (118) for enabling the smart watch (100) to recharge.
8. A method (300) for detecting depression using a smart watch (100), the method (300) characterized by steps of:
receiving a measured body vitals of the user from a sensor (106);
analyzing the received body vitals of the user using a machine learning algorithm;
classifying the analyzed body vitals of the user by extracting features based on the analyzed received body vitals;
identifying a level of depression in the user based on the classified body vitals; and
actuating an alert unit (114) to transmit alerts to a user device (116) when the identified level of depression is greater than a minimum threshold level.
9. The method (300) as claimed in claim 8, comprising a step of calling an ambulance, or alerting an emergency contact of the user when the identified level of depression approaches a maximum threshold level.
10. The method (300) as claimed in claim 8, wherein the sensor (106) is an Electroencephalogram (EEG) sensor.
Date: November 23, 2023
Place: Noida

Dr. Keerti Gupta
Agent for the Applicant
(IN/PA-1529)