SYSTEM AND METHOD FOR DETECTING DEVIATIONS IN NOMINAL GAIT PATTERNS

• US 20070112287A1
• Filed: 09/13/2006
• Published: 05/17/2007
• Est. Priority Date: 09/13/2005
• Status: Abandoned Application

• Current Assignee: Sarnoff Corporation (SRI International, Inc.)
• Original Assignee: Sarnoff Corporation (SRI International, Inc.)
• Inventors: Fancourt, Craig, Aceti, John
• Application Number:
  US11/531,530
• Publication Number:
  US 20070112287A1
• Time in Patent Office: Days
• US Class Current: 600/595
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/164 the sensor is mounted in or on a conformable substrate or carrier
• CPC Class Codes: A61B 5/1038 Measuring plantar pressure during gait
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/6815 Ear
• CPC Class Codes: A61B 5/6838 Clamps or clips
• CPC Class Codes: G08B 21/04 responsive to non-activity, e.g. of elderly persons G08B21/06 takes precedence

Abstract

A monitoring device having a system and method for detecting deviations in nominal gait patterns is provided. The monitoring device is configured for at least partial insertion within an auditory canal of an individual. The system employed in the monitoring device is comprised of at least an accelerometer configured for measuring acceleration in three orthogonal directions aligned with the principal directions of the body. Gait features values are extracted from the measurements and continuously accumulated, thereby establishing the nominal gait pattern of the individual. Subsequent extractions of current gait features are compared to accumulated gait feature statistics to determine if a deviation in the established nominal gait pattern has been detected.

Claims

1. A system for determining a deviation in a nominal gait pattern of an individual, comprising:

a multi-axis accelerometer;

a processor coupled to said multi-axis accelerometer for analyzing measurements collected by said multi-axis accelerometer;

an extraction component coupled to said processor for extracting current gait features associated with measurements analyzed by said processor;

a memory component for storing extracted gait feature statistics; and

a detection component coupled to said extraction component and said processor for comparing said current gait features to extracted gait feature statistics accumulated in said memory component.

2. The system of claim 1, wherein said multi-axis accelerometer, said processor, said extraction component and said detection component are provided within a housing made suitable for at least partial insertion within an auditory canal of said individual.

3. The system of claim 1, wherein said multi-axis accelerometer, said processor, said extraction component and said detection component are provided within a housing made suitable for attachment between an auricle of an ear and a head of said individual.

4. The system of claim 1, wherein said multi-axis accelerometer, said processor, said extraction component and said detection component are distributed between a housing and a plug, wherein said housing is attached between an auricle of an ear and a head, and wherein said plug is suitable for at least partial insertion within an auditory canal of said individual.

5. The system of claim 4, wherein said housing and said plug are coupled together via a processing extension, said processing extension providing an electrical connection between said housing and said plug.

6. The system of claim 5, wherein said plug is configured to accommodate said multi-axis accelerometer to be securely positioned within said auditory canal of said individual.

7. The system of claim 1, wherein said multi-axis accelerometer measures acceleration in three orthogonal directions aligned with principal directions of said individual'"'"'s body.

8. The system of claim 1, wherein said processor employs a Kalman filter for estimating position, velocity and acceleration associated with a current state of said individual'"'"'s body.

9. The system of claim 1, further comprising a gyroscope coupled to said processor.

10. The system of claim 9, wherein said gyroscope supplements multi-axis accelerometer measurements by providing corrective measurements in connection with horizontal motions of a head unrelated to body movement.

11. The system of claim 1, further comprising a level meter coupled to said processor.

12. The system of claim 11, wherein said level meter supplements multi-axis accelerometer measurements by providing corrective measurements in connection with vertical motions of a head unrelated to body movement.

13. The system of claim 1, wherein said nominal gait pattern is derived by evaluating said extracted gait feature statistics accumulated in said memory component.

14. The system of claim 1, wherein said detection component determines said deviation in said nominal gait pattern when values of said current gait features exceed permissible threshold values established by said extracted gait feature statistics accumulated in said memory component.

15. The system of claim 1, further comprising a notification component having a means for wireless transmission of data associated with said extraction and said detection components.

16. The system of claim 15, wherein said notification component is configured to communicate an alert signal when said deviation in said nominal gait pattern has been detected.

17. The system of claim 16, wherein said alert signal is an audible tone.

18. The system of claim 16, wherein said alert signal is a predefined notification message.

19. A method for determining a deviation in a nominal gait pattern of an individual, comprising:

measuring acceleration in three orthogonal directions aligned with principal directions of said individual'"'"'s body;

estimating position, velocity and acceleration of said individual'"'"'s body;

extracting current gait features associated with said estimations; and

comparing said extracted current gait features with stored gait feature statistics to determine the existence of said deviation.

20. The method of claim 19, wherein said measuring acceleration in three orthogonal directions further comprises securely positioning a multi-axis accelerometer within an auditory canal of said individual.

21. The method of claim 19, wherein said measuring acceleration in three orthogonal directions further comprises securely attaching a multi-axis accelerometer between an auricle of an ear and a head of said individual.

22. The method of claim 19, wherein said estimations of said position, velocity and acceleration of said individual'"'"'s body are determined by processing said acceleration measurements using a Kalman filter.

23. The method of claim 19, further comprising providing corrective measurements in connection with horizontal motions of a head unrelated to body movement, wherein said corrective measurements supplement said acceleration measurements.

24. The method of claim 19, further comprising providing corrective measurements in connection with vertical motions of a head unrelated to body movement, wherein said corrective measurements supplement said acceleration measurements.

25. The method of claim 19, wherein said nominal gait pattern is derived by evaluating said stored gait feature statistics.

26. The method of claim 19, further comprising providing notification of said detected deviation in said nominal gait pattern.

27. A system for accumulating gait feature statistics to derive a nominal gait pattern of an individual, comprising:

a multi-axis accelerometer;

a processor coupled to said multi-axis accelerometer for analyzing measurements collected by said multi-axis accelerometer; and

an extraction component coupled to said processor for extracting current gait features associated with measurements analyzed by said processor.