SYSTEM AND METHOD FOR SENSOR PRIORITIZATION

• US 20160088090A1
• Filed: 09/24/2014
• Published: 03/24/2016
• Est. Priority Date: 09/24/2014
• Status: Active Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Durham, Lenitra M., Anderson, Glen J., Whitney, Kofi, Cianfrone, Joseph A., Johnson, Andrea, Lin, Philbert
• Application Number:
  US14/495,563
• Publication Number:
  US 20160088090A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04W 4/38 for collecting sensor information

Abstract

A system and method for prioritizing data from a plurality of wearable sensor modules in a sensor system. A primary sensor module is selected as a function of operation parameters associated with operation of each of wearable sensor modules. Parameter data measured by two or more of the wearable sensor modules is combined, wherein combining includes reviewing the operation parameters of the wearable sensor modules supplying the parameter data to be combined and combining the data as a function of the reviewed operation parameters.

Claims

1. At least one machine readable medium comprising a plurality of instructions that in response to being executed on a computing device, cause the computing device to carry out a method, the method comprising:

detecting two or more wearable sensor modules;

determining, from operation parameters associated with operation of the detected wearable sensor modules, a first sensor module;

combining parameter data measured by two or more of the sensor modules, wherein combining includes reviewing the operation parameters of the wearable sensor modules supplying the parameter data to be combined; and

distributing the parameter data under the control of the first sensor module.

2. The at least one machine readable medium of claim 1, wherein combining parameter data measured by two or more of the sensor modules further includes forwarding the parameter data to be combined to an inference engine, and returning context data to one or more of the wearable sensor modules.

3. The at least one machine readable medium of claim 1, wherein combining parameter data measured by two or more of the sensor modules further includes forwarding the parameter data to be combined to an inference engine, and returning configuration data from the inference engine to one or more of the wearable sensor modules.

4. The at least one machine readable medium of claim 3, wherein returning configuration data from the inference engine to one or more of the wearable sensor modules includes returning information used to tune a heuristic within the wearable sensor module.

5. The at least one machine readable medium of claim 3, wherein returning configuration data from the inference engine to one or more of the wearable sensor modules includes returning information used to tune a data processing algorithm within the wearable sensor module.

6. The at least one machine readable medium of claim 1, wherein combining parameter data measured by two or more of the sensor modules further includes selecting, via the first sensor module, the parameter data to be displayed.

7. The at least one machine readable medium of claim 1, wherein distributing the parameter data under the control of the first sensor module includes displaying the parameter data as commanded by the first sensor module.

8. In a sensor system having a plurality of wearable sensor modules, a method of prioritizing data received from the wearable sensor modules, comprising:

determining, from operation parameters associated with operation of the wearable sensor modules, a first sensor module;

combining parameter data measured by two or more of the wearable sensor modules, wherein combining includes reviewing the operation parameters of the wearable sensor modules supplying the parameter data to be combined and combining the data as a function of the reviewed operation parameters; and

distributing the parameter data under the control of the first sensor module.

9. The method of claim 8, wherein combining parameter data measured by two or more of the wearable sensor modules further includes forwarding the parameter data to be combined to an inference engine, and returning context data from the inference engine to one or more of the wearable sensor modules.

10. The method of claim 8, wherein combining parameter data measured by two or more of the wearable sensor modules further includes forwarding the parameter data to be combined to an inference engine, and returning configuration data from the inference engine to one or more of the wearable sensor modules.

11. The method of claim 8, wherein combining parameter data measured by two or more of the wearable sensor modules further includes weighting parameter data received from each wearable sensor module as a function of the operating parameters of that module.

12. The method of claim 8, wherein combining parameter data measured by two or more of the sensor modules further includes selecting, via the first sensor module, the parameter data to be displayed.

13. A machine readable storage medium including program code which, when executed, causes a machine to perform the method of claim 8.

14. A wearable sensor module, comprising, comprising:

a sensor, wherein the sensor is designed to measure parameter data corresponding to an activity; and

a processor connected to the sensor, wherein the processor is designed to receive parameter data from the sensor;

wherein the processor includes an inference engine interface, wherein the inference engine interface, when coupled to an inference engine, transmits the parameter data to the inference engine and receives configuration data from the inference engine;

wherein the processor is designed to use the configuration data received from the inference engine to modify the parameter data received from the sensor.

15. The module of claim 14, wherein the processor is designed to use the configuration data to tune a data processing algorithm within the wearable sensor module.

16. The module of claim 14, wherein the processor is designed to weight parameter data received from the sensor as a function of operating parameters for the module.

17. A sensor system, comprising:

one or more networks; and

a plurality of wearable sensor modules connected by the one or more networks;

wherein each wearable sensor module transmits its operating parameters to one or more other wearable sensor modules, wherein the operating parameters are used to select a first sensor module.

18. The sensor system of claim 17, wherein the operating parameters are further used to prioritize data sources within the plurality of wearable sensor modules.

19. The sensor system of claim 17, wherein the first sensor is designed to place one of the other sensor modules in a low power state.

20. The sensor system of claim 17, wherein the first sensor module includes an inference engine, wherein the inference engine receives activity data from two or more of the wearable sensor devices, prioritizes the activity data as a function of its source and provides data to one or more of the wearable sensor modules used to configure the wearable sensor module.

21. The sensor system of claim 20, wherein the data from the inference engine is used to tune a heuristic within the wearable sensor module.

22. The sensor system of claim 20, wherein the data from the inference engine is used to tune a data processing algorithm within the wearable sensor module.

23. The sensor system of claim 17, wherein an inference engine is distributed across two or more sensor modules, wherein the inference engine receives activity data from two or more of the wearable sensor devices, prioritizes the activity data as a function of its source and provides data to one or more of the wearable sensor modules used to configure the wearable sensor module.

24. The sensor system of claim 17, wherein the system further comprises a processor connected to one of the networks, wherein the processor receives activity data from two or more of the wearable sensor devices, prioritizes the activity data as a function of its source and provides data to one or more of the wearable sensor modules, wherein the data provided to the wearable sensor modules is used to configure the wearable sensor modules.

25. The sensor system of claim 24, wherein the processor places a sensor module in a low power state when its data is not needed.