Real-Time Harm Prevention Through Feedback System With Automatic Detection of Human Behavioral and Emotional States

• US 20170140629A1
• Filed: 11/18/2015
• Published: 05/18/2017
• Est. Priority Date: 11/18/2015
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Briggs, Benjamin D., Clevenger, Lawrence A., Ratha, Nalini K., Rizzolo, Michael, Clevenger, Leigh Anne H., Connell, II, Jonathan H.
• Application Number:
  US14/945,179
• Publication Number:
  US 20170140629A1
• Time in Patent Office: Days
• CPC Class Codes: G08B 21/043 detecting an emergency event, e.g. a fall
• CPC Class Codes: G08B 21/0446 worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
• 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: G08B 25/016 Personal emergency signalling and security systems emergency non-personal manually actuated alarm activators G08B25/12

Abstract

The present invention provides techniques for leveraging the sensing capabilities of wearable mobile technology, such as a smartwatch, to provide real-time harm prevention. In one aspect of the invention, a method for harm prevention is provided. The method includes the steps of: collecting real-time data from at least one user, wherein the data is collected via a mobile device worn by the user (e.g., a smartwatch); analyzing the real-time data collected from the user to determine whether the real-time data indicates an emergency situation exists; and undertaking an appropriate action if the real-time data indicates that an emergency situation exists, otherwise continuing to collect data from the user in real-time. Third party data relating to potential source of harm to the user may also be obtained (e.g., from a weather service, newsfeeds, etc.)

Claims

1. A method for harm prevention, comprising the steps of:

collecting real-time data from at least one user, wherein the data is collected via a mobile device worn by the user;

analyzing the real-time data collected from the user to determine whether the real-time data indicates an emergency situation exists; and

undertaking an appropriate action if the real-time data indicates that an emergency situation exists, otherwise continuing to collect data from the user in real-time.

2. The method of claim 1, further comprising the step of:

obtaining third party data relating to potential source of harm to the user.

3. The method of claim 2, wherein the third party data is obtained from at least one of a weather service and a newsfeed.

4. The method of claim 2, further comprising the step of:

analyzing the real-time data collected from the user in combination with the third party data to determine whether an emergency situation exists.

5. The method of claim 1, further comprising the step of:

determining the appropriate action to take.

6. The method of claim 1, further comprising the step of:

contacting the user to verify that an emergency situation exists.

7. The method of claim 6, further comprising the step of:

determining whether further action is needed after contacting the user.

8. The method of claim 6, wherein the step of contacting the user comprises the step of:

setting at least one of i) a predetermined number of attempts to get a response, and ii) a predetermined response time.

9. The method of claim 1, comprising a plurality of users.

10. The method of claim 1, wherein at least one of the plurality of users is a child.

11. The method of claim 10, wherein at least one of the plurality of users is a guardian of the child.

12. The method of claim 1, wherein the real-time data collected from the user comprises physiological data for the user selected from the group consisting of:

skin electrical characteristics, blood oxygen levels, heart rate, pulse, and combinations thereof.

13. The method of claim 1, wherein the real-time data collected from the user comprises trajectory data for the user selected from the group consisting of:

movement, speed, direction, orientation, location, and combinations thereof.

14. The method of claim 1, wherein the real-time data collected from the user comprises environmental data selected from the group consisting of:

air pressure, temperature, wind velocity, and combinations thereof.

15. The method of claim 1, wherein the mobile device worn by the user comprises at least one sensor selected from the group consisting of:

an electrodermal activity (EDA) sensor, a pulse oximeter sensor, a heart rate sensor, and combinations thereof.

16. The method of claim 1, wherein the mobile device worn by the user comprises at least one sensor selected from the group consisting of:

a gyroscope sensor, a global positioning system (GPS) sensor, and combinations thereof.

17. The method of claim 1, wherein the mobile device worn by the user comprises at least one sensor selected from the group consisting of:

a barometer, an air temperature sensor, a wind speed sensor, and combinations thereof.

18. The method of claim 1, wherein the mobile device worn by the user comprises a smartwatch.

19. The method of claim 1, wherein the appropriate action comprises alerting at least one of:

the user, emergency personnel, and another user.

20. A computer program product for harm prevention, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:

collect real-time data from at least one user, wherein the data is collected via a mobile device worn by the user;

analyze the real-time data collected from the user to determine whether the real-time data indicates an emergency situation exists; and

undertake an appropriate action if the real-time data indicates that an emergency situation exists, otherwise continuing to collect data from the user in real-time.