SYSTEMS AND METHODS FOR REAL TIME DETECTION AND REPORTING OF PERSONAL EMERGENCIES

• US 20160142894A1
• Filed: 11/12/2015
• Published: 05/19/2016
• Est. Priority Date: 11/13/2014
• Status: Active Grant

• Current Assignee: Mobiltron, Inc.
• Original Assignee: Mobiltron, Inc.
• Inventors: Papakonstantinou, Vassilis, Schizas, Stavros
• Granted Patent: US 10,003,945 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: G08B 21/0453 worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing detecting, measuring or recording for diagnostic purposes A61B5/00
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/90 Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
• CPC Class Codes: H04W 76/50 for emergency connections

Abstract

According to at least one aspect, a system and corresponding method for detecting and reporting personal emergency events includes a mobile application running on a client device of a user and a backend application running on a backend system. The mobile application and the backend application can communicate on a regular basis. The mobile application or the backend application can regularly monitor sensor data, user contextual data or other data indicative of user state of health, activities or environment and detect or predict an emergency event of the user based on the monitored data. Upon detecting an emergency event, the mobile application or the backend application can warn the user or notify emergency contacts of the user of the emergency event. The backend application can use the sensor data or other user data to update an emergency predictive model specific to the user employed to detect or predict emergency events.

Claims

1. A method for detecting an emergency event occurring to a user, the method comprising:

(a) receiving, by a mobile device, data about at least one of a health, an activity or an environment of the user;

(b) analyzing, by one of the mobile device or a server, the data about at least one of the health, the activity or the environment of the user;

(c) detecting, by one of the mobile device or the server, from the analyzed data an emergency event associated with the user; and

(d) executing, by one of the mobile device or the server responsive to the detection, an emergency protocol.

2. The method of claim 1, wherein (a) further comprises receiving data from one or more sensors about one or more of the following:

motion, location, ambient temperature, ambient humidity, medical measurements of the user.

3. The method of claim 1, wherein (a) further comprises receiving from one or more content sources via one or more networks contextual data about the user comprising one or more of the following traffic patterns associated with location of the user, air pollution level associated with the location of the user, prior activity of the user, and posts, messages or change of status in content of a user feed of the user.

4. The method of claim 1, wherein (a) further comprises receiving data about public alerts related to one of a location or the activity of the user, the data about public alerts comprising one or more of the following:

disaster alerts, weather alerts, crime alerts, bacteria or virus alerts, infectious disease alerts.

5. The method of claim 1, wherein (b) further comprises using an emergency predictive model for analyzing the data to take into account current condition of user, environment parameters, user settings and past knowledge to estimate the probability of an emergency event.

6. The method of claim 5, further comprising computing a score value indicative of a likelihood of an emergency event occurring to the user.

7. The method of claim 6, wherein (c) further comprises comparing the score value to a given threshold value and detecting the emergency event responsive to the score value being greater than the given threshold value.

8. The method of claim 1, further comprising verifying the emergency event via the mobile device.

9. The method of claim 8, further comprising initiating, by one of the mobile device or the server responsive to verification, emergency reporting.

10. The method of claim 9, further comprising sending, by one of the mobile device or the server responsive to the verification, a distress signal to one or more of the following:

emergency contacts of the user, an emergency response service or an ad-hoc safety network created by the user.

11. A system for detecting an emergency event occurring to a user, the system comprising:

a mobile application configured to be executable on a mobile device to receive data about at least one of a health, an activity or an environment of the user;

a server configured to communicate with the mobile application and receive data from the mobile device;

wherein at least one of the mobile application or the server is configured to;

analyze the data about at least one of the health, the activity or the environment of the user;

detect from the analyzed data an emergency event associated with the user; and

execute, responsive to the detection, an emergency protocol.

12. The system of claim 11, wherein the data is received from one or more sensors and comprises one or more of the following:

motion, location, ambient temperature, ambient humidity and medical measurements of the user.

13. The system of claim 11, wherein the data is received from one or more content sources via one or more networks and comprises contextual data about the user comprising one or more of the following:

traffic patterns associated with location of the user, air pollution level associated with the location of the user, prior activity of the user, and posts, messages or change of status in content of a user feed of the user.

14. The system of claim 11, wherein at least one of the mobile application or the server is further configured to receive data about public alerts related to one of a location or the activity of the user, the data about public alerts comprising one or more of the following:

disaster alerts, weather alerts, crime alerts, bacteria or virus alerts, infectious disease alerts.

15. The system of claim 11, wherein at least one of the mobile application or the server is further configured to use an emergency predictive model for analyzing the data to take into account current condition of user, environment parameters, user settings and past knowledge to estimate the probability of an emergency event.

16. The system of claim 15, wherein at least one of the mobile application or the server is further configured to compute a score value indicative of a likelihood of an emergency event occurring to the user.

17. The system of claim 16, wherein at least one of the mobile application or the server is further configured to compare the score value to a given threshold value and detect the emergency event responsive to the score value being greater than the given threshold value.

18. The system of claim 11, wherein at least one of the mobile application or the server is further configured to verify the emergency event via the mobile device.

19. The system of claim 18, wherein at least one of the mobile application or the server is further configured to initiate, responsive to verification, emergency reporting.

20. The system of claim 19, wherein at least one of the mobile application or the server is further configured to send, responsive to the verification, a distress signal to one or more of the following:

emergency contacts of the user, an emergency response service or an ad-hoc safety network created by the user.

21. The system of claim 11, wherein the server is configured to:

monitor availability of the mobile application; and

launch a micro-virtual machine (mVM) upon detecting the mobile application being started on the mobile device.

22. The system of claim 21, wherein the server is further configured to:

halt the mVM, upon detecting that the mobile application is turned off on the mobile device;

encrypt an image of the mVM and data associated with the user of the mobile device data; and

store the encrypted data for use when the corresponding mobile application is turned on again on the mobile device.

23. The system of claim 21, wherein the mVM is executed on a micro-virtual server and an Internet protocol (IP) address of the micro-virtual server is randomly set at initiation.

24. The system of claim 23, wherein the IP) address of the micro-virtual server is renewed at random intervals during a period of time when the mVM is running on the micro-virtual server.

25. A method for predicting an emergency event is to occur to a user, the method comprising:

(a) receiving, by a mobile device, data about at least one of a health, an activity or an environment of the user;

(b) analyzing, by one of the mobile device or the server, the data about at least one of the health, the activity or the environment of the user;

(c) determining, by one of the mobile device or the server, from the analyzed data, a score value indicative of a likelihood of an emergency event occurring to the user; and

(d) communication, by one of the mobile device or the server responsive to the score value being greater than a threshold, a notification to the user to change behavior to avoid the emergency event.

26. The method of claim 25, further comprising detecting, by one of the mobile device or the server, that the behavior of the user did not change and responsive to the detecting initiating, by one of the mobile device or the server, emergency reporting.

27. The method of claim 26, further comprising sending, by one of the mobile device or the server, a distress signal to one or more of the following:

emergency contacts of the user, an emergency response service or an ad-hoc safety network created by the user.

28. The method of claim 26, wherein the data comprises contextual data about the user and data from one or more sensors associated with the user.

29. A system for predicting an emergency event is to occur to a user, the system comprising:

a mobile application configured to be executable on a mobile device to receive data about at least one of a health, an activity or an environment of the user;

a server configured to communicate with the mobile application and receive data from the mobile device;

wherein at least one of the mobile application or the server is configured to;

receive data about at least one of a health, an activity or an environment of the user;

analyze the data about at least one of the health, the activity or the environment of the user;

determine, from the analyzed data, a score value indicative of a likelihood of an emergency event occurring to the user; and

communicate, responsive to the score value being greater than a threshold, a notification to the user to change behavior to avoid the emergency event.

30. The system of claim 29, wherein one of the mobile device or the server is further configured to detect that the behavior of the user did not change and responsive to the detecting initiating, by one of the mobile device or the server, emergency reporting.

31. The system of claim 30, wherein one of the mobile device or the server is further configured to send responsive to the detection a distress signal to one or more of the following:

emergency contacts of the user, an emergency response service or an ad-hoc safety network created by the user.

32. The system of claim 29, wherein the data comprises contextual data about the user and data from one or more sensors associated with the user.