A system for real-time gesture recognition and classification of coordinated motion

Author(s)
Lovell, Steven Daniel
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Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Joseph A. Paradiso.
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Abstract
This thesis describes the design and implementation of a wireless 6 degree-of-freedom inertial sensor system to be used for multiple-user, real-time gesture recognition and coordinated activity detection. Analysis is presented that shows that the data streams captured can be readily processed to detect gestures and coordinated activity. Finally, some pertinent research that can be pursued with these nodes in the areas of biomotion analysis and interactive entertainment are introduced.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
 
Includes bibliographical references (p. 101-103).
 
Date issued
2005
URI
http://hdl.handle.net/1721.1/33290
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.
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