SYSTEM FOR DETECTION OF BODY MOTION

• US 20100176952A1
• Filed: 12/04/2009
• Published: 07/15/2010
• Est. Priority Date: 12/04/2008
• Status: Active Grant

• Current Assignee: Board of Regents of the University of Texas System (University of Texas System)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Yang, Allen Y., Jafari, Roozbeh, Bajcsy, Ruzena, Sastry, S. Shankar
• Granted Patent: US 9,060,714 B2
• Time in Patent Office: Days
• US Class Current: 340/573.100
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• 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 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/6804 Garments; Clothes
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6828 Leg
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/6887 mounted on external non-worn devices, e.g. non-medical devices
• CPC Class Codes: A61B 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period

Abstract

An approach for determining motions of a body using distributed sensors is disclosed. In one embodiment, an apparatus can include: a plurality of sensors coupled to a body, where each sensor is positioned at about a designated location on the body, and where each sensor is configured to acquire motion data related to movement of the designated location on the body and at which the sensor is positioned, and to reduce the motion data into compressed and transmittable motion data; and a base station configured to receive the compressed motion data via wireless communication from at least one of the plurality of sensors, the base station being further configured to remove outlier information from the received motion data, and to match the received motion data to a predetermined action, where the predetermined action indicates a movement of the body.

Claims

1. A method for obtaining data in a distributed sensor system, wherein aggregated sensor data is used to achieve a result, the method comprising:

obtaining sensor data from first and second sensors at a local site;

using local processing to perform at least a portion of first classification of the sensor data.

2. The method of claim 1, wherein the first classification includes a Distributed Sparsity Classifier (DSC) function.

3. The method of claim 2, wherein the first classification includes a Local Sparsity Classifier (LSC) function.

4. The method of claim 3, wherein the distributed sensor system includes nodes, wherein each node comprises a particular sensor and resources associated with the particular sensor, the method further comprising:

performing the LSC function at one or more nodes.

5. The method of claim 1, wherein the distributed sensor system is used in human body action detection.

6. The method of claim 1, further comprising:

using additional processing to perform at least a portion of second classification of the sensor data.

7. The method of claim 6, wherein the additional processing is performed at least in part by a managing entity at a location remote from where the local processing is performed.

8. The method of claim 1, further comprising:

determining that a performance of a sensor has changed; and

adapting a classification of data in response to the determining.

9. An apparatus for obtaining data in a distributed sensor system, wherein aggregated sensor data is used to achieve a result, the apparatus comprising:

a processor;

a processor-readable medium including one or more instructions for;

obtaining sensor data from first and second sensors at a local site; and

using local processing to perform at least a portion of first classification of the sensor data.

10. A processor-readable medium including instructions executable by a processor for obtaining data in a distributed sensor system, wherein aggregated sensor data is used to achieve a result, the processor-readable medium comprising one or more instructions for:

obtaining sensor data from first and second sensors at a local site; and

using local processing to perform at least a portion of first classification of the sensor data.