WEARABLE DEVICE FOR SAFETY MONITORING OF A USER

Abstract

A precise, gesture-based, safety monitoring system, method and device. The present invention comprises a controller, wherein the controller upon detection of a distress signal, sends an alert signal along with the Location information of the user to a Remote Server. The Remote Server, upon receiving an alert signal sends an SMS and e-mail along with the Location information to a Mobile device of the registered emergency numbers of the user and responds in real-time.

Claims

1. A gesture-based system having (a) a Wearable A comprising a Wearable 101 and a Mobile application 102, (b) Location services B comprising Location services 104 and a Location processor 105, (c) Services C comprising a Redis cluster 108, an Application Gateway 120, User services 106, Health Services 107 and Safety Services 117, and (d) Customer services D, comprising a Customer Service Relationship (CSR) office 113, Website 115, CSR Services 116 with Site-to-site (STS) VPN 114 and a Load Balancer 103f with data processing apparatus programmed to perform precise safety monitoring operations comprising: a. Detecting one or more user inputs from the wearable A and performing measurements; b. Triggering one or more SOS signals based on the user input; c. Communicating between the wearable A and services C; d. Initiating the SOS after eliminating false alarms; and e. Detecting the user's location and contacting safety services and responding in real-time.

2. The system of claim 1, further comprising (a) Service Bus Queues 112, (b) a SQL Database 109, (c) Solar search Engine 118, (d) Mongo Database 110, (e) Telephony services 111, (f) Notification services 119, and (g) one or more Load Balancers 103a, 103b, 103c, 103d, 103e, wherein: a. The SQL Database 109 feeds User data such as the registered well-wisher's details, local emergency contacts, to enable an efficient system performance; b. The Solar search Engine 118 and Redis cluster 108 are assimilated into the system; c. The services requested are lined-up and processed by the Service Bus Queues 112; d. The Telephony services 111 and Notification services 119 which can be used by a User accordingly as and when required either to alert their network members or to dismiss the alert signal generated during an emergency; and e. Dismissal of an SOS triggered during an emergency is done through either a Call-center or a Mobile application, which will be dealt with the CSR office 113.

3. The system of claim 1, wherein the Wearable 101 has a cover 1, side keys 2, a laser etching 3, a heart-rate monitor 4, a charging port 5, a controller, a mobile device, a Remote Server, a battery, an SOS battery, distress signal, a display, a vibration motor, 9-axis inertial measurement unit (IMU), one or more alert signals, a Bluetooth and, a processor, wherein: a. The vibration motor is located away from the 9-axis inertial measurement unit and is configured as a silent alarm using a vibration module such that the motor configured to vibrate upon generation of a distress Gesture to indicate to the user that the alert signal has been sent to registered emergency numbers of the user; b. The alert signal from the user is in the form of Gestures, and the IMU is utilized to get 3D position and orientation of the wearable device that aids in extracting meaningful Gestures; c. The IMU acts as a high accuracy motion tracking unit to recognize Gestures and is of small size with low power consumption, comprises of a 3-axis accelerometer, 3-axis gyroscope, and 3-axis magnetometer, thus with 9 degrees of freedom, wherein: a) Hand Gestures are tracked by the 3-axis accelerometer and gyroscope from which alphabets are created for the Gestures, each alphabet represents a particular action and configured by the user using either the Bluetooth or a web-based application; b) The 3-axis accelerometer measures acceleration of the user, whereas, the 3-axis magnetometer measures magnetic field associated with the user's change of orientation; c) The 3-axis gyroscope along with the 3-axis accelerometer is utilized for precise determination of an orientation of the user; d) The 9-axis inertial measurement unit automatically identifies a type of distress by calculating the change of orientation of the user from the 3-axis accelerometer, the 3-axis gyroscope, and the 3-axis magnetometer; and e) To reduce false activations which might be performed while performing daily activities, an activation Gesture is performed by the user to activate the actual Gestures pre-configured by the user; d. The controller is a microcontroller which is capable of storing necessary instructions required for generating distress signal and for transmitting an alert signal along with location information of the user to the Remote Server and it co-ordinates various modules in the wearable device and initiates different modules based on the Gestures recognized by the IMU, and executes necessary actions including Gesture recognition, configuration, communication and storage; and e. The display screen is either a light-emitting diode (LED) Screen or an organic light-emitting diode (OLED) or liquid crystal display (LCD), used to indicate various information such as time and notifications.

4. The system of claim 1, wherein there are two categories of a Companion model exist including a mobile device 12 and being a GSM and GPS-enabled model 15 in the case of the absence of the mobile device 12.

5. The system of claim 1, wherein the wearable allows the user to pre-configure one or more Gestures such that: a. They can control any electronic device; and b. The user can configure Gestures in an x-y plane, x-z plane and also with varying angular velocities, upon detection of an activation Gesture followed by the Gesture hit in the x-y plane, x-z plane or with varied angular velocity pre-configured by the user, the controller activates action associated with the pre-configured Gesture set by the user.

6. A computer-implemented method comprising the steps of: a. Detecting one or more user input 500 from a wearable device including, (a) button press 202, (b) force detection 203, (c) Auto-accident Collision detection 204, (d) stress and fatigue detection 205, and (e) Hand Gestures 206; b. Performing one or more measurements 501 based on the user's input 201 by detecting a button press 207, enabling force detection 209, measuring IMU Sensor data 215, and detecting patterns from Hand Gestures 224; c. Triggering SOS based on the user input 502; d. Communicating between the wearable device and the Remote Server 503; e. Initiating the SOS 504 by the Remote Server; f. Verifying a false alarm 505; g. Calculating Location and contacting emergency services 506; and h. Dismissing the SOS triggered 507 by a user.

7. The method of claim 6, wherein the step of performing measurements 501 further comprises: a. For a button press 202 input, i) Pressing a SOS button 207 present in the wearable device; ii) Verifying a period of button press 208 by the controller, further, A. Pressing the button for longer than one second vibrates the wearable 226 and triggers the SOS and; B. Pressing the button for a period less than one second, awaits SOS button press again; b. For a force detection 203, i) Enabling force detection 209; ii) Triggering a Proximity Sensor 210 upon enabling the force detection; iii) Measuring Proximity value 211 by the Proximity Sensor 210 and checking a position of the wearable device 212; iv) Vibrating the wearable device 226 and initiating of the SOS 502, if the wearable device is not attached to a user's wrist; and v) Monitoring Proximity value and attachment of the wearable device to the wrist, in the case of the wearable device safely attached to the user's wrist; c. For an Auto-accident Collision detection 204, i) Enabling force detection 209; ii) Measuring G-Force value from a Sensor 213 on receiving the user input; iii) Enabling vibrate mode of the wearable device 226 thus initiating the SOS 502 once the G-Force value 214 exceeds a threshold value; and iv) Non-initiating the action for G-Force value lesser than the threshold value; d. For a stress and fatigue detection 205, i) Measuring an IMU Sensor data 215 on detection of the fall of a user; ii) Measuring the Proximity 217 if there is a fall detected 216, else step ‘i’ is repeated; iii) Measuring the Heart Rate Monitor (HRM) data 219 if the Wearable is attached 218 to the wrist else no action is taken 223; iv) Vibrating the Wearable 226 if the HRM data is not stable 220 and initiating the SOS 502, else starting the timer for sixty seconds 221 and if moving of the user is detected 222, then no action is taken 223; and v) Moving of the user when not detected, Wearable is vibrated 226 and initiating the SOS 502; and e. For Hand Gestures 206, i) Oscillating of hand by the user for a configurable number of times continuously 206, and detecting a pattern of Hand Gesture by the wearable device 224; ii) Comparing a pattern detected by the Sensor with a user-defined pattern 224 which are pre-defined by the user; and iii) Vibrating the Wearable 226 and sending notifications to raise SOS, if the pattern of Hand Gesture is valid 225, else no action is taken 223.

8. The method of claim 6, wherein the step of communicating between the wearable device and the Remote Server 503 further comprises: a. Receiving an SOS by the wearable device 227; b. Transmitting the signals to Remote server via cellular network 230, when the Wearable has connectivity 228; c. Saving the SOS and waiting till connectivity is back 229, when no connectivity in wearable device; d. If a mobile device is present in the system then, i) Receiving an SOS by the wearable device 227; ii) Transmitting the signals to the Remote server through the Mobile 232, when the Wearable has connectivity 228; and iii) Saving the SOS and waiting till connectivity is back 229, when no connectivity in wearable device; e. Receiving the signals 231 by the Remote Server; and f. Initiating the SOS 233 by the Remove Server.

9. The method of claim 6, wherein the step of verifying a false alarm 505 further comprises: a. Checking the User's preferences 234 by the controller; b. Verifying the false alarm before raising the SOS 235 based on User's preference provided 234, initiating a call back to the User 236, before proceeding to the next step ‘c’; c. Confirming SOS situation by the controller to the Remote Server to send let or long every Q (configurable) seconds to the Remote Server, 237 if there is no false alarm.

10. The method of claim 6, wherein the step of calculating Location and contacting emergency services 506 further comprises: a. Creating a dynamic URL by the Remote Server to track the User 238; b. Calculating the nearest R (configurable) Users within S (configurable) metres radius of the Proximity from an incident Location by the Remote Server 239; and c. Sending the alert signals 240 by the Remote Server to well-wishers, nearest R Users, and emergency services.

11. The method of claim 6, wherein the step of dismissing the SOS signals 507 further comprises: a. Confirming the information to the well-wishers, even when the user is fine, then the user dismiss 241 the SOS alerted; and b. Initiating the dismissal of SOS 242 either by calling the customer service or by using the mobile application, after taking user input 73 as follows, i) Dismissal of SOS by calling the customer service 82, A. Initiating a call to a Customer service 82 by the User and providing authentication details to a Customer Service Representative (CSR) 83, a session remains active 86 for invalid authentication 84; B. Triggering a dismissal of the session by the CSR 85 by sending a notification to the Remote Server 78 upon successful authentication 84, thus ending transmit of the Location 79 and disabling 80 the session in the Remote Server; and C. Sending an SMS and E-mail by the Remote Server to the Registered users 81 and to those whom earlier the alert signal was forwarded, confirming the safety of the affected user and ending the process 87; and ii) Dismissal of SOS through the Mobile Application 74, A. Selecting an “I am Safe” option in the mobile application 75 to dismiss the SOS alert initiated, that requires entering a Passcode 76 to enable, the dismissal could not be initiated until a valid Passcode is provided 77; B. Sending a notification to the Remote Server 78 which stops to transmit the Location 79 and disables the session in the Remote Server 80; and C. Initiating an SMS and E-mail by the Remote Server to all those who were alerted earlier to inform about the safety of the affected user 81 and ending the process 87.

12. The method of claim 6, wherein a process of the triggered SOS signal to protect an affected user further comprises: a. Communicating 503 with the Remote Server by the wearable device, i) Receiving the SOS 42 at the wearable device and forwarding the same to the Remove Server via cellular network 45 if wearable has connectivity 43; ii) If no connectivity in the wearable then saving the SOS and waiting till the connectivity is back 44; iii) If a mobile device is present in the system, then, A. Receiving the SOS 42 at the wearable device and forwarding the same to the Remote Server through the mobile device 46 if wearable has connectivity 43; and B. If no connectivity in the wearable then saving the SOS and waiting till the connectivity is back 44; and iv) Receiving signals 47 by the Remote Server and initiating the SOS 48; b. Triggering of SOS 504 to process the alert signal; c. Verifying 505 for false alarm by the controller, i) Checking the user's preference provided for “verify for false alarm before raising SOS” 49; ii) Confirming the SOS situation to the Remote Server 56 directly if the user does not prefer for any verification, else further comprises: (a) Initiating IVR call 50 to check false SOS for a configurable number of times 52 if not answered for first time 51; (b) Prompting the user to enter a Passcode 53 if the call is answered to ensure that the user is in real trouble, a valid Passcode indicates no harm to the user, and hence the process ends ignoring the SOS trigger 55; and (c) Confirming the SOS situation to the Remote Server 56 for an invalid Passcode entry 54; and iii) Forwarding SOS notification to the Remote Server and sending either a Let or Long every configurable second to the Remote Server 57 continuously; d. Calculating the Location and contacting 506 of emergency services, i) Creating a dynamic URL 58 by the Remote Server to track the user and, also calculating the nearest R configurable users within configurable meters radius of Proximity from the incident Location 59; ii) Sending an alert signal by the Remote Server to Registered well-wishers and nearest R users in a network and local Emergency services 60, the Remote Server sends only basic details but not entire details while alerting nearest R users if they are not part of the affected user's network, to avoid any unnecessary trouble to the user during an emergency or later; iii) Refreshing the Location 61 by the Remote server based on the input received from the wearable device time-to-time; and iv) Identifying the network type of the users as 3G, 4G, Edge or SMS by the Remote Server 62 to forward the details, A. Forwarding real-time Location 68 for 3G, 4G users 63, and 2G users 64 receive the Location with slow refresh 69; B. Receiving of SMS Location 65 for users without 3G, 4G and 2G, which undergoes Cell triangulation 66 and showing the nearest Proximity based on available Cell Tower 67; and C. Monitoring continuously for the signal 71 of those users who do not come under any of the above-mentioned network facility to whom the Location could not be shared 70, on identifying the signal 72 performs a check for network identification and forwarding the details accordingly.

13. The method of claim 6 wherein the wearable device allows the user to pre-configure one or more Gestures such that: a. They can control any electronic device; and b. The user can configure Gestures in an x-y plane, x-z plane and also with varying angular velocities, upon detection of an activation Gesture followed by the Gesture hit in the x-y plane, x-z plane or with varied angular velocity pre-configured by the user, the controller activates action associated with the pre-configured Gesture set by the user.

14. A precise, gesture-based, safety monitoring wearable device 101 for a user having, (a) a cover 1, (b) side keys, (c) a laser etching 3, (d) a heart-rate monitor 4, (e) a charging port 5, (f) a controller, (g) a mobile device, (h) a Remote Server, (i) a battery, (j) an SOS battery, (k) distress signal, (l) a light emitting diode (LED), (m) a vibration motor, (n) 9-axis inertial measurement unit (IMU), (o) one or more alert signals, (p) a Bluetooth and, (q) a processor, wherein: a. The cover 1 is located on top front portion; b. The laser etching 3, the heart-rate monitor 4 and the charging port 5 are on the backside of the wearable device; c. The battery is molded into a design for maximum safety; d. The SOS battery reserve is used to send the distress signal; e. The light emitting diode has a TFT display screen to display time under normal operating conditions; f. The vibration motor is located away from the 9-axis inertial measurement unit and is configured as a silent alarm using a vibration module such that the motor configured to vibrate upon generation of a distress Gesture to indicate to a user that the alert signal has been sent to registered emergency numbers of the user; g. The alert signal from the user is in the form of Gestures, and the IMU is utilized to get 3D position and orientation of the wearable device that aids in extracting meaningful Gestures; h. The controller is a microcontroller which is capable of storing necessary instructions required for generating distress signal and for transmitting an alert signal along with location information of the user to the Remote Server and it co-ordinates various modules in the wearable device and initiates different modules based on the Gestures recognized by the IMU, and executes necessary actions including Gesture recognition, configuration, communication and storage; and i. The IMU acts as a high accuracy motion tracking unit to recognize Gestures and is of small size with low power consumption, comprises of a 3-axis accelerometer, 3-axis gyroscope, and 3-axis magnetometer, thus with 9 degrees of freedom, wherein: i) Hand Gestures are tracked by the 3-axis accelerometer and gyroscope from which alphabets are created for the Gestures, each alphabet represents a particular action and configured by the user using either the Bluetooth or a web-based application; ii) The 3-axis accelerometer measures acceleration of the user, whereas, the 3-axis magnetometer measures magnetic field associated with the user's change of orientation; iii) The 3-axis gyroscope is used along with the 3-axis accelerometer for more precise determination of an orientation of the user; iv) The 9-axis inertial measurement unit automatically identifies a type of distress by calculating the change of orientation of the user from the 3-axis accelerometer, the 3-axis gyroscope, and the 3-axis magnetometer; and v) To reduce false activations which might be performed while performing daily activities, an activation Gesture is performed by the user to activate the actual Gestures pre-configured by the user.

15. The device of claim 14, wherein a future version of the device contains an OLED display and an LED display.

16. The device of claim 14, wherein the wearable device allows the user to pre-configure one or more Gestures such that: a. They can control any electronic device; and b. The user can configure Gestures in an x-y plane, x-z plane and also with varying angular velocities, upon detection of an activation Gesture followed by the Gesture hit in the x-y plane, x-z plane or with varied angular velocity pre-configured by the user, the controller activates action associated with the pre-configured Gesture set by the user.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0026] FIG. 1 shows the overall system of the present invention.

[0027] FIG. 2(a)-2(e) shows the components of the wearable device of the present invention.

[0028] FIG. 2(a) shows the wearable device with a Cover.

[0029] FIG. 2(b) shows the side view of the wearable device.

[0030] FIG. 2(c) shows the back view of the wearable device.

[0031] FIG. 2(d) shows the full front perspective view of the wearable device.

[0032] FIG. 2(e) shows the full back perspective view of the wearable device.

[0033] FIG. 3 shows the eight types of Hand Gestures.

[0034] FIG. 4 shows the overall process of the present invention.

[0035] FIG. 5 shows the workflow of SOS signal process in detail.

[0036] FIG. 6 shows the process of dismissal of the SOS triggered during an emergency.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0037] The present invention relates to a wearable device for safety monitoring of a user. The wearable device upon detection of a distress signal sends an alert signal along with the location data to the registered emergency numbers of the user. Here, the distress signal is generated either upon detection of a distress Gesture, upon pressing a distress button continuously by the user for a certain period, upon forceful removal of the wearable device, upon accident detection or free fall detection of the user.

[0038] FIG. 1 is the overall system diagram of the present invention that consists of a Wearable A, Location services B, Services C, Customer services D, Service Bus Queues 112, a SQL Database 109, Solar search Engine 118, Mongo Database 110, Telephony services 111, Notification services 119, and one or more Load Balancers. The Wearable A includes a Wearable 101 and a Mobile application 102 which are integrated via Load Balancers 103a, 103b, 103c, 103d, 103e with different services like, user services 106, Health Services 107 and Safety Services 117 through an Application Gateway 120. The Location services B consists of Location services 104 and a Location processor 105. The Services C comprises Redis cluster 108, an Application Gateway 120, user services 106, Health Services 107 and Safety Services 117. A Customer Service Relationship (CSR) office 113, Website 115, CSR Services 116 forms the Customer services D with Site-to-site (STS) VPN 114 for a secured connection across multiple locations and a Load Balancer 103f integrating the Website 115 and CSR Services 116. The services requested are queued 112 and processed accordingly. There are also Telephony services 111 and Notification services 119 which can be used by a user subsequently as and when required either to alert their network members or to dismiss the alert generated during an emergency. The Location Monitor in the system consists of Location services 104 which are connected to a Location processor 105 the data is communicated between the Mobile Application 102 through the Load Balancer 103a. A SQL Database 109 feeds the user data such as the registered well-wisher's details, local emergency contacts, etc., to the system to enable an efficient system performance. The system is connected to a Solar search Engine 118. The Mongo Database 110 and Redis cluster 108 assimilated into the system to enhance the overall functioning. The Customer services D is connected by Site-to-site (STS) VPN 114, thus establishes a secure connection within.

[0039] The system further includes a Customer Service Relationship (CSR) office 113 which is through a Website 115, integrated to the CSR Services 116 through a Load Balancer 103f. The dismissal of the SOS triggered during an emergency is done through a Call-center or a Mobile application which will be dealt with the CSR office 113.

[0040] FIG. 2(a)-(e) shows the different views of the wearable device. Top view of the device with a Cover 1 is illustrated in 2(a), 2(b) gives the side view with side keys 2. At the back side of the wearable device, a laser etching 3, a heart-rate monitor 4 and a charging port 5 are located as shown in 2(c). The full front perspective view and the back view of the wearable device are shown in 2(d) and 2(e) respectively.

[0041] The wearable device comprises a controller, wherein the controller upon detection of a distress signal, transmits an alert signal to a paired Mobile. The Mobile then along with the Location information of the user forwards it to a Remote Server. The Remote Server, upon receiving an alert signal sends an SMS and e-mail along with the Location information to the Mobile device of the registered emergency numbers of the user.

[0042] The controller is a microcontroller and is capable of storing necessary instructions required for generating distress signal and for transmitting an alert signal along with the Location information of the user to the Remote Server.

[0043] The wearable device of the present invention comprises a 360 mah battery, which is molded into the design for maximum safety. The wearable device further manages to hold a small reserve as SOS battery, wherein the SOS reserve battery is used to send the distress signal.

[0044] The wearable device further comprises a small 2 cm×2 cm organic light emitting diode (OLED) or LCD with a TFT display screen to display time under normal operating conditions.

[0045] The wearable device also comprises a small vibration motor, wherein the low vibration motor is located away from the 9-axis inertial measurement unit. The small vibration motor backs a background noise of 28 Db @ 10 cm. The small vibration motor may be configured as a silent alarm using a vibration module.

[0046] The low vibration motor is also configured to vibrate upon generation of distress Gesture as an indication to the user that the alert signal has been sent to the registered emergency numbers of the user.

[0047] The alert signal from a user will be in the form of Gestures and to recognize the Gestures a high accuracy motion tracking device with small size and low power consumption is required. The inertial measurement unit (IMU) satisfies the requirements and is mainly used to get 3D position and orientation of the device. This information is used for extracting meaningful Gestures.

[0048] The IMU consists of a 3-axis accelerometer, 3-axis gyroscope, and 3-axis magnetometer. Hence, the device is with 9 degrees of freedom. The Hand Gestures are tracked by the 3-axis accelerometer and gyroscope. Alphabets are created for the Gestures, each alphabet represents a particular action and configured by the user using the Bluetooth or a web-based application. FIG. 3 shows the eight types of Hand Gestures.

[0049] The 3-axis accelerometer measures the acceleration of the user. Similarly, the 3-axis magnetometer measures a magnetic field associated with the user's change of orientation. Here, the 3-axis gyroscope is used along with the 3-axis accelerometer for more precise determination of the orientation of the user. The 9-axis inertial measurement unit automatically identifies the type of distress by calculating the change of orientation of the user from the 3-axis accelerometer, the 3-axis gyroscope, and the 3-axis magnetometer. However, in order to reduce false activations which might be performed while performing daily activities, an activation Gesture is made by the user to activate the actual Gestures pre-configured by the user.

[0050] The wearable device of the present invention allows the user to configure Gestures in an x-y plane, x-z plane and also with varying angular velocities. Upon detection of an activation Gesture followed by the Gesture hit in the x-y plane, x-z plane or with varied angular velocity pre-configured by the user, the controller activates action associated with the pre-configured Gesture set by the user. For example, the user may set a Gesture such as rotate clockwise in the x-y plane to activate the photo burst mode in a Mobile camera using the Bluetooth module of the wearable device.

[0051] The small vibration motor embedded in the device away from the IMU is used for the silent alarm, Gesture detection, and notification alerts without much distraction to the user. Vibrations for notifications can be customized, and an alarm can be set, using the Bluetooth.

[0052] The controller communicates with the various modules in the device and initiates different modules based on Gestures recognized by the IMU. The controller performs necessary actions like recognizing the Gestures and starting GSM module to keep track of the Gestures configured for each action and also acts as a communicator. Additional memory can be added along with this processor.

[0053] For configuring the device, communication with an external device is required and is done by the Bluetooth. Thus, the communications with various Bluetooth enabled clients can be facilitated. The primary function of the Bluetooth is to configure Gestures.

[0054] The display screen used in the device can be a light-emitting diode (LED) Screen or an organic light-emitting diode (OLED) or liquid crystal display (LCD). The display is used to indicate information such as time and notifications. A flexible, less weight and low power display are used to suit the device. An OLED or LCD display works without a backlight.

[0055] The future version of the wearable device might contain OLED or LED display. In low ambient light conditions such as a dark room, an OLED screen can achieve a higher contrast ratio on LCD. The response time of OLED PLED is better than that of LED screens. OLED screens have better power efficiency and thickness than LCD screen. For cost effectiveness, LED screens can be used.

[0056] FIG. 4 shows the overall process of the present invention that involves, detecting one or more user input 500, measuring one or more user input 501 and identifying different forms, triggering SOS based on the user input 502, communicating between the wearable device and the Remote Server 503, initiating the SOS 504 by the Remote Server, verifying a false alarm 505 by taking user input, calculating Location and contacting emergency services 506, and dismissing the SOS triggered 507 by the user. The process starts 200 with the inputs 201 being measured by the various Sensors and compared by the controller with the user-defined values or results.

[0057] The detection of user input 500 which are of various forms such as, button press 202, force detection 203, Auto-accident Collision detection 204, stress and fatigue detection 205, and Hand Gestures 206.

[0058] The different types of inputs are measured 501 for identifying the different forms to trigger.

[0059] When the input is of button press 202, the user presses the SOS button 207 which is present in the wearable device and the controller estimates the period of the button press 208. If the button is pressed longer than one sec 208, the wearable vibrates 226 and then triggers the SOS 502, else no action is taken.

[0060] For force detection 203, the user enables the force detector 209 which triggers the Proximity Sensor 210. The Proximity value generated from the Proximity Sensor is measured 211, and the position of the wearable device is verified by the controller for attachment with a user's wrist 212. If the wearable device is not attached to the user's wrist, the wearable vibrates 226 and triggers the SOS 502. The Proximity value 211 and the attachment of the wearable device to the user's wrist 212 are continuously monitored in the case of the wearable device safely attached to the user's wrist.

[0061] The wearable device measures the G-force 213 once the force detector is enabled for Auto-accident Collision detection input 204. The G-force value is measured 213 with the help of the Sensor, and the controller compares the measured G-force with the threshold value. If the G-Force value exceeds the threshold value 214, then the vibrate mode of the wearable device 226 is enabled thus initiating the SOS 502.

[0062] Further, the IMU Sensor data is measured 215 to be aware of any fall detection of the user for stress and fatigue detection 205. The Proximity is measured 217 upon detection of fall of the user 216, and the association of the wearable device to the user's wrist is verified 218. If the wearable device is attached to the wrist, then the Heart Rate Monitor (HRM) data is measured and checked for stability 219. The stability of HRM 220 data is detected by comparing the measured data with the previous history of Heart Rate of the user. If the HRM data is unstable, then the wearable device vibrates 226 to send the SOS trigger 502. Stability of HRM data initiates a Timer for 60 seconds 221 and then detects movement of the user 222. Upon no movement of the user though with stable HRM data, the wearable device vibrates 226 and initiates SOS trigger 502. If the movement is detected after 60 seconds, then no action is taken 223.

[0063] When the user input 201 is a Hand Gestures 206 which are hand oscillations for a configurable number of times continuously. The patterns are detected by the Sensors and compared with the user patterns 224 which are pre-defined by the user. If the detected patterns are valid 225, then the wearable device vibrates 226 and sends the notification to trigger the SOS 502, if not no action is taken 223. The general pattern of the Hand Gestures is illustrated in FIG. 3.

[0064] Once the SOS is triggered 502 by the measured aspects 501 carried with respect to the user inputs 500, the wearable device communicates with the Remote Server 503 by receiving the SOS 227. If the wearable has connectivity 228, then signals are transmitted to the Remote Server via cellular network 230. The SOS is saved and waits till the connectivity is back 229 in the case of the Wearable without connectivity. The signal is sent through the Mobile device 232 to the Remote Server 231, if one is present within the system. The Mobile device also processes the signal based on the connectivity of the wearable 228, saves the SOS and waits for the connectivity to be back 229 during a no connectivity situation, to forward the signal to the Remote Server. Receiving signals by the Remote Server 231, from the Wearable either via a cellular network or through the Mobile device, if present. The SOS is initiated 233 by the Remote Server.

[0065] Once the SOS is initiated 504, the controller check for the user's preference 234 to verify for false alarm 235. If the user had preferred to verity for false alarm before raising the SOS then the initiate a call back to the user and verify 236. Otherwise, the controller confirms the SOS situation to the Remote Server and sends the Let or Long every Q (configurable) second to the Remote Server 237.

[0066] The Remote Server starts determining the Location of the wearable device and if needed contacts the emergency services 506 as soon as the SOS is initiated 504, and the alarm is proven to be factual 235. The Remote Server creates a dynamic URL to track the user 238. The nearest R (configurable) users within S (configurable) meters radius of Proximity from the incident Location is calculated 239 by the Remote Server. Upon establishing the Location of the user along with the wearable device, the Remote Server sends an alert 240 about the Location and status of the user to either the well-wishers or nearest R users or emergency services (911, 100, etc.).

[0067] If the information is conveyed to the well-wishers even when the user is fine, then the user dismisses 241 the SOS alert 507. The SOS initiated is dismissed 242 either by calling the customer service or by using the Mobile application, and the process ends 243.

[0068] FIG. 5 shows the method of the triggered SOS signal process to protect the affected user. Initially, the wearable device communicates with the Remote Server 503. The wearable device on receiving the SOS 42 forwards the same to the Remove Server via cellular network 45 if the wearable has connectivity 43. In the case of no connectivity in the wearable device, saves the SOS 44 and waits till the connectivity is back. If a Mobile device 46 is present within the system, the Remote Server receives the SOS signal from the wearable device through the Mobile device if there is connectivity 43 in the wearable device and saves the SOS 44, waits for connectivity to be back to proceed further. The signal is received by the Remove Server 47 which initiates the SOS 48.

[0069] The SOS is triggered 504 to process the alert signal. Before proceeding to process the SOS, the controller verifies for false alarm 505. The controller checks user's preference for “verify for false alarm before raising the SOS” 49. If the user preference is to verify before raising the SOS, then an IVR call is initiated 50, and repeated for configurable P number of times 52, if not answered for the first time 51. If the call is answered then, the user is prompted to enter the Passcode 53 which is validated 54 to ensure that the user is in real trouble. A valid Passcode is an indication of no harm to the user but reveals a false alarm. Hence, the process ends ignoring the SOS trigger 55. An invalid Passcode 54 confirms the SOS situation to the Remote Server 56 and a confirmation is sent on every Q seconds to the Remote Server. For a user preference not set for any verification, the SOS situation is directly confirmed to the Remote Server 56 by sending the confirmation to send Let and Long every Q seconds to the Remote Server 57.

[0070] The process of Location calculation and contact of emergency services 506 begins as the Remote Server creates a dynamic URL 58 to track the user, and calculate the nearest R (configurable) users within S (configurable) meters radius of Proximity from the incident Location 59. An alert signal is sent by the Remote Server to the well-wishers, nearest R users in the network and the local Emergency services like 911, 100 in India 60.

[0071] While sending the alert signal to the nearest ten users who are not within the affected user network or the well-wisher list, the Remote Server sends only the basic details but not the full details, thus avoid any unnecessary trouble to the user during the emergency or later. The Remote Server refreshes the Location 61 based on the input received from the wearable device time-to-time. The network type of the users as 3G and 4G, Edge or SMS is identified by the Remote Server 62, and the details are forwarded accordingly. For 3G and 4G users 63, the real-time Location will be transmitted 68, and 2G users 64 receive Location with slow refresh 69. Those users without 3G, 4G, and 2G receive SMS Location 65 which undergoes Cell triangulation 66 and shows the nearest Proximity based on the Cell Tower 67. Those, users who do not come under any of the above-said network facility, the Location is not shared 70 but looks out for signal continuously 71 and when the Signal is identified 72, performs the check of network identification and forwards the details accordingly.

[0072] FIG. 6 shows the process of dismissal of the SOS triggered during an emergency. The user after being saved from the emergency situation can dismiss the SOS to prevent their well-wishers getting panic and confirm safety. The dismissal 73 can be done either through a Call-center 82 or a Mobile application 74. The user initiates a call to the Customer service 82, and the Customer Service Representative takes the authentication details 83. The session remains active 86 for invalid authentication. If the authentication is a success, then the CSR triggers a dismissal of session 85 by sending the notification to the Remote Server 78. The Remote Server then stops transmitting of the Location 79 and disable the session 80. Also, the Remote Server sends an SMS and E-mail to the Registered users 81 and to those whom earlier the alert signal was forwarded, confirming the safety of the affected user.

[0073] In the Mobile application, the “I am Safe” option has to be selected 75 to dismiss the SOS alert initiated. A passcode is required to enable the dismissal 76. The process of dismissing the safety alert could not be started until a valid passcode is entered 77. Further, the process continues by sending the notification to the Remote Server 78 which stops the transmitting of the Location 79 and disables the session in the Remove Server. An SMS and e-mail are initiated by the Remote Server to all those who were alerted earlier to inform about the safety of the affected user.

[0074] The wearable device allows the user to pre-configure Gestures to control any electronic device such as a Mobile phone, media player, VR controllers, laptop, etc. For instance, the user may define Gestures to control media player, to control slides of power point presentation, or to answer and to reject phone calls or to act as a computer mouse using the Bluetooth module of the present invention.