A system for real-time gesture recognition and classification of coordinated motion
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/33290 |
| _version_ | 1826190123029495808 |
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| author | Lovell, Steven Daniel |
| author2 | Joseph A. Paradiso. |
| author_facet | Joseph A. Paradiso. Lovell, Steven Daniel |
| author_sort | Lovell, Steven Daniel |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. |
| first_indexed | 2024-09-23T08:35:23Z |
| format | Thesis |
| id | mit-1721.1/33290 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:35:23Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/332902019-04-09T18:38:51Z A system for real-time gesture recognition and classification of coordinated motion Lovell, Steven Daniel Joseph A. Paradiso. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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. 2006-07-13T15:12:52Z 2006-07-13T15:12:52Z 2005 2005 Thesis http://hdl.handle.net/1721.1/33290 62278024 eng 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 103 p. 3829362 bytes 3834956 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Lovell, Steven Daniel A system for real-time gesture recognition and classification of coordinated motion |
| title | A system for real-time gesture recognition and classification of coordinated motion |
| title_full | A system for real-time gesture recognition and classification of coordinated motion |
| title_fullStr | A system for real-time gesture recognition and classification of coordinated motion |
| title_full_unstemmed | A system for real-time gesture recognition and classification of coordinated motion |
| title_short | A system for real-time gesture recognition and classification of coordinated motion |
| title_sort | system for real time gesture recognition and classification of coordinated motion |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/33290 |
| work_keys_str_mv | AT lovellstevendaniel asystemforrealtimegesturerecognitionandclassificationofcoordinatedmotion AT lovellstevendaniel systemforrealtimegesturerecognitionandclassificationofcoordinatedmotion |