OBTAINING METRICS FOR A POSITION USING FRAMES CLASSIFIED BY AN ASSOCIATIVE MEMORY

• US 20160070355A1
• Filed: 09/05/2014
• Published: 03/10/2016
• Est. Priority Date: 09/05/2014
• Status: Active Grant

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Whelan, John Desmond
• Granted Patent: US 9,619,039 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: G06F 12/08 in hierarchically structured memory systems, e.g. virtual memory systems
• CPC Class Codes: G06F 12/082 Associative directories G06F12/0822 takes precedence
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06T 1/60 Memory management
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06T 7/70 Determining position or orientation of objects or cameras camera calibration G06T7/80
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training

Abstract

A method for identifying a motion of interest of an individual. The method includes collecting, at a computer, motion sensor input data of motions of the individual from a motion sensor for an interval of time. The method further includes analyzing, using the computer, the motion sensor input data using an analysis application having a set of classified predetermined motions of interest. The analysis application classifies a movement captured during the interval of time as a motion corresponding to one of a plurality of pre-determined motions of interest based on shared relative attributes. The method further includes generating an output providing notice of an identified predetermined motion of interest to a monitoring system.

Claims

1. A method for identifying a motion of interest of an individual, comprising:

collecting, at a computer, motion sensor input data of motions of the individual from a motion sensor for an interval of time;

analyzing, using the computer, the motion sensor input data using an analysis application having a set of classified predetermined motions of interest, where the analysis application classifies a movement captured during the interval of time as a motion corresponding to one of a plurality of pre-determined motions of interest based on shared relative attributes; and

generating an output providing notice of an identified predetermined motion of interest to a monitoring system.

2. The method of claim 1, further comprising:

generating an alarm output when an identified predetermined motion of interest exceeds a predetermined threshold.

3. The method of claim 1 further comprising:

responsive to receiving the notice, collecting metrics on the motion of interest.

4. The method of claim 1 further comprising:

responsive to receiving the notice, collecting metrics on additional movements by the individual.

5. An apparatus for identifying a motion of interest of an individual, comprising:

a motion sensor;

a computer in communication with the motion sensor, the computer being configured to collect motion sensor data from the motion sensor on motions of the individual for an interval of time; and

a non-transitory computer readable storage medium storing an analysis application having a set of classified pre-determined motions of interest, the analysis application further configured such that when executed by the computer, the analysis application classifies a movement of the individual captured during the interval of time as a motion corresponding to one of a plurality of predetermined motions of interest based on shared relative attributes, and wherein the analysis application is further configured, when executed, to generate an output providing notice of an identified predetermined motion of interest to a monitoring system.

6. The system of claim 5, wherein the computer is further configured to generate an alarm output when an identified predetermined motion of interest exceeds a pre-determined threshold.

7. The apparatus of claim 5, wherein the computer is further configured, responsive to receiving the notice, to collect metrics on the motion of interest.

8. The apparatus of claim 5, wherein the computer is further configured, responsive to receiving the notice, to collect metrics on additional movements by the individual.

9. A system comprising:

a kinematic measurement device having one or more sensors configured to detect a plurality of physical positions of a part of an object;

an associative memory, in communication with the kinematic measurement device, and comprising a plurality of data and a plurality of associations among the plurality of data, wherein the plurality of data is collected into associated groups, wherein the associative memory is configured to be queried based on at least indirect relationships among the plurality of data; and

a processor, in communication with the associative memory and the kinematic measurement device, and configured to receive motion input data of the object from the kinematic measurement device, compare, in conjunction with the associative memory, the motion input data to a plurality of pre-determined motions stored in the associative memory, classify the motion input data as a particular motion selected from the plurality of pre-determined motions, and to notify a monitoring system when the particular motion matches one of a subset of the plurality of pre-determined motions.

10. The system of claim 9, wherein the processor is further configure to cause the monitoring system to measure additional motions of the object when the particular motion matches the one of the subset of the plurality of pre-determined motions.

11. The system of claim 10, wherein the processor in conjunction with the associative memory is configured to output an assessment of the additional motions the object.

12. The system of claim 11, wherein assessment is based on a criteria selected by a user.

13. The system of claim 10, wherein the object is a person.

14. The system of claim 13, wherein the subset comprises at least one undesirable body position of the person.

15. The system of claim 14, wherein the additional motions comprise all motions of the person during an interval of time.

16. The system of claim 14, wherein the additional motions comprise only those motions that are within the subset during an interval of time.

17. The system of claim 14, wherein an individual body part of the person is monitored.

18. The system of claim 14, wherein the processor is further configured to notify the monitoring system when the motions of the person are no longer in the subset.

19. The system of claim 18, wherein the processor is further configured to command the monitoring system to cease monitoring the person when the motions of the person are outside of the subset.

20. The system of claim 9, wherein the associative memory is configured to be trained to include an additional pre-determined motion within the plurality of pre-determined motions and to include a further motion in the subset of the plurality of pre-determined motions.