PERSONAL STATUS MONITORING

• US 20110246123A1
• Filed: 10/19/2010
• Published: 10/06/2011
• Est. Priority Date: 03/30/2010
• Status: Abandoned Application

• Current Assignee: Welch Allyn Incorporated
• Original Assignee: Welch Allyn Incorporated
• Inventors: Xu, Min, Goldfain, Albert, DelloStritto, James J.
• Application Number:
  US12/907,854
• Publication Number:
  US 20110246123A1
• Time in Patent Office: Days
• US Class Current: 702/141
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface

Abstract

A method for monitoring kinetic motion includes: capturing acceleration data of a human body of interest from a plurality of points on the human body of interest; using the plurality of points that correlate to parts of the human body of interest to determine a position or view of the human body of interest, wherein the position or view includes a kinetic signature comprising motion characteristics; and displaying a live representation of the human body of interest by using the determined position or view of the human body of interest.

Claims

1. A method for monitoring kinetic motion characteristics, comprising:

capturing acceleration data related to movement of a human body of interest from a plurality of points on the human body of interest;

using the plurality of points that correlate to parts of the human body of interest to determine a position or view of the human body of interest, wherein the position or view includes a kinetic signature comprising motion characteristics; and

displaying a live representation of the human body of interest by using the determined position or view of the human body of interest.

2. The method of claim 1, further comprising coupling eleven sensors to the human body of interest to capture the acceleration data.

3. The method of claim 1, further comprising:

capturing physiological data; and

using the physiological data to add context when displaying the live representation of the human body of interest.

4. The method of claim 3, further comprising estimating a status of a soldier as the human body of interest.

5. The method of claim 4, further comprising estimating a health state of the soldier.

6. The method of claim 3, further comprising estimating an acceleration of the human body of interest.

7. The method of claim 6, further comprising:

estimating a posture of the human body of interest; and

estimating a health state of the human body of interest.

8. The method of claim 1, further comprising classifying a motion associated with the human body of interest.

9. The method of claim 8, further comprising:

measuring an acceleration of arms and legs of the human body of interest;

when the legs and arms are static, classifying a posture of the human body of interest;

when the legs or arms are moving, classifying the motion.

10. The method of claim 9, further comprising, when the legs are not moving in a cross-correlated fashion, determining that the human body of interest is walking or running.

11. The method of claim 9, further comprising:

measuring an angle of each sensor that is coupled to the human body of interest to capture the acceleration data; and

estimating the posture based on the angle of each sensor.

12. A method for monitoring kinetic motion characteristics, comprising:

coupling sensors to a plurality of points on a human body of interest;

capturing acceleration data from the sensors on the human body of interest;

using the plurality of points that correlate to parts of the human body of interest to determine a position or view of the human body of interest, wherein the position or view includes a kinetic signature comprising motion characteristics;

capturing physiological data;

displaying a live representation of the human body of interest by using the determined position or view of the human body of interest; and

using the physiological data to add context when displaying the live representation of the human body of interest.

13. The method of claim 12, further comprising estimating a status of a soldier as the human body of interest.

14. The method of claim 13, further comprising estimating a health state of the soldier.

15. A system for monitoring kinetic motion characteristics, comprising:

a central processing unit (CPU) that is configured to control operation of a gateway device; and

one or more computer readable data storage media storing software instructions that, when executed by the CPU, cause the system to;

capture acceleration data of a human body of interest from a plurality of points on the human body of interest;

use the plurality of points that correlate to parts of the human body of interest to determine a position or view of the human body of interest, wherein the position or view includes a kinetic signature comprising motion characteristics; and

display a live representation of the human body of interest by using the determined position or view of the human body of interest.

16. The system of claim 15, further comprising coupling eleven sensors to the human body of interest to capture the acceleration data.

17. The system of claim 16, wherein the software instructions executed by the CPU further cause the system to:

capture physiological data; and

using the physiological data to add context when displaying the live representation of the human body of interest.

18. The system of claim 17, wherein the software instructions executed by the CPU further cause the system to estimate a status of a soldier as the human body of interest.

19. The system of claim 18, wherein the software instructions executed by the CPU further cause the system to estimate a health state of the soldier.

20. The system of claim 17, wherein the software instructions executed by the CPU further cause the system to:

estimate a posture of the human body of interest; and

estimate a health state of the human body of interest.