Sensor based monitoring

• US 10,642,952 B2
• Filed: 12/08/2017
• Issued: 05/05/2020
• Est. Priority Date: 05/05/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Goyal, Munish, Greene Starks, Kimberly, Rakshit, Sarbajit K.
• Primary Examiner(s): Perez-Velez, Rocio Del Mar
• Assistant Examiner(s): Choi, Alicia M.
• Application Number:
  US15/835,744
• Publication Number:
  US 20180322240A1
• Time in Patent Office: 879 Days
• Field of Search: 700275
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/80 for controlling the temperature of the supplied air
• CPC Class Codes: F24F 2120/10 Occupancy
• CPC Class Codes: G05B 2219/2614 HVAC, heating, ventillation, climate control
• CPC Class Codes: G16H 40/63 for local operation
• 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

Abstract

A method for improving mobile sensor based monitoring is provided. The method includes continuously receiving in real time via sensors integrated within a wearable device of a user, vital sign data and movement based data associated with the user. Additionally, environmental data is continuously received via sensors located within a geographical area of the user. The vital sign data, movement based data, environmental data, and medical data are analyzed and current and future mental and physical conditions for the user are predicted. Recommended actions associated with modifying the current and future mental and physical conditions for the user are generated and presented. Current physical conditions for the user are monitored to determine if the recommended actions have been executed.

Claims

1. A mobile sensor based monitoring improvement method comprising:

continuously receiving in real time, by a processor of a controller hardware device via a plurality of sensors integrated within a sensor strap of a wearable device of a user, vital sign data, physical attribute data, and movement based data associated with said user, wherein said sensor strap is in constant contact with the skin of said user;

continuously receiving, by said processor via a plurality of sensors located within a geographical area comprising a current location of said user, environmental data associated with current environmental conditions and in room disturbances within a structure of said current location of said user, wherein said current environmental conditions comprise a noise level at said current location;

receiving, by said processor from a plurality of remotely located systems, medical data associated with said user;

analyzing, by said processor via execution of artificial intelligence hardware and software, said vital sign data, said physical attribute data and, said movement based data, said environmental data, and said medical data;

predicting, by said processor based on results of said analyzing, current and future mental and physical conditions for said user;

generating, by said processor, recommended actions associated with modifying said current and future mental and physical conditions for said user;

presenting, by said processor to an authoritative user via a graphical user interface of a hardware device of said authoritative user, said recommended actions;

executing, by said processor, said recommended actions such that said user is physically moved in accordance with said current and future mental and physical conditions for said user;

sensor based monitoring, by said processor via said plurality of sensors integrated within said wearable device, current physical conditions and associated physical and mental condition changes with respect to previous physical and mental condition changes for said user to auto-determine if said recommended actions and user condition based actions have been executed;

transmitting, by said processor to external systems, results of said monitoring;

detecting, by said processor via a charge detection circuit of said wearable device, that a voltage level of a power source for said wearable device is less than a predetermined threshold voltage;

executing, by said processor via a charging circuit of said wearable device, a charging process comprising automatically charging, from a controller hardware device via a wireless charging signal applied to said power source and said sensor strap from said controller hardware device, said power source and said sensor strap;

generating, by said processor, hardware based actions associated with modifying said current and future mental and physical conditions for said user;

executing, by said processor, said hardware based actions resulting in a modification of hardware enabled systems associated with said current environmental conditions;

wherein said executing said hardware based actions comprises modifying a heart rate control device and an oxygen device of said user thereby modifying a heartrate and an oxygen level of said user; and

modifying, by said processor based on said results of said executing, cognitive software code of said wearable device for controlling future actions resulting in an additional modification of said hardware enabled systems associated with additional environmental conditions.

2. The method of claim 1, wherein said executing said hardware based actions further comprises automatically modifying HVAC systems associated with said current location of said user thereby modifying said current environmental conditions.

3. The method of claim 1, wherein said executing said hardware based actions further comprises automatically modifying medical devices associated with said user thereby modifying biomedical attributes of said user.

4. The method of claim 1, further comprising:

tracking, by said processor via said plurality of sensors integrated within said wearable device and said plurality of sensors located within said geographical area, said hardware based actions to determine said modification of said hardware enabled systems; and

transmitting, by said processor to said external systems, results of said tracking.

5. The method of claim 4, further comprising:

receiving, by said processor based on said results of said tracking, input data from said external systems; and

modifying, by said processor based on said results of said tracking and said input data, cognitive software code of said controller hardware device for executing future actions resulting in an additional modification of said hardware enabled systems associated with additional environmental conditions.

6. The method of claim 4, further comprising:

receiving, by said processor based on said results of said tracking, input data from said external systems.

7. The method of claim 1, wherein said current environmental conditions comprise a temperature of said current location and a humidity level of said current location.

8. The method of claim 1, wherein said current environmental conditions comprise a noise level at said current location and a lighting level at said current location, and wherein said executing said actions comprises automatically modifying said noise level and said lighting level.

9. The method of claim 1, wherein said plurality of sensors integrated within said wearable device comprise heart rate sensors, temperature sensors, blood pressure sensors, and brainwave activity sensors.

10. The method of claim 1, wherein said plurality of sensors located within said geographical area comprise temperature sensors, optical sensors, noise sensors, and humidity level sensors.

11. The method of claim 1, further comprising:

providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in the control hardware, said code being executed by the computer processor to implement;

said continuously receiving in real time, said continuously receiving said environmental data, said receiving, said analyzing, said predicting, said generating, said presenting, said monitoring, and said transmitting.