2026-09-19T09:28:58Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/332902022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Joseph A. Paradiso.
Lovell, Steven Daniel
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-07-13T15:12:52Z
2006-07-13T15:12:52Z
2005
2005
http://hdl.handle.net/1721.1/33290
62278024
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 101-103).
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.
by Steven Daniel Lovell.
M.Eng.
103 p.
3829362 bytes
3834956 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
A system for real-time gesture recognition and classification of coordinated motion
Thesis
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