DocumentCode :
3130245
Title :
Analysis of clustering techniques to detect hand signs
Author :
Eisenstein, J. ; Ghandeharizadeh, S. ; Huang, L. ; Shahabi, C. ; Shanbhag, G. ; Zimmermann, R.
Author_Institution :
Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
fYear :
2001
fDate :
2001
Firstpage :
259
Lastpage :
262
Abstract :
The term multimedia has a different meaning to different communities. The computer industry uses this term to refer to a system that can display audio and video clips. Generally speaking, a multimedia system supports multiple presentation modes to convey information. Humans have five senses: sight, hearing, touch, smell and taste. In theory, a system based on this generalized definition must be able to convey information in support of all senses. This would be a step towards virtual environments that facilitate total recall of an experience. This study builds on our previous work with audio and video servers and explores haptic data in support of touch and motor skills. It investigates the use of clustering techniques to recognize hand signs using haptic data. An application of these results is communication devices for the hearing impaired
Keywords :
gesture recognition; handicapped aids; haptic interfaces; multimedia computing; multimedia servers; pattern clustering; video servers; audio servers; clustering techniques; communication devices; hand sign detection; haptic data; hearing impaired people; motor skills; multimedia system; multiple presentation modes; total recall; touch; video servers; virtual environments; Auditory displays; Auditory system; Computer displays; Computer industry; Computer science; Handicapped aids; Haptic interfaces; Humans; Natural languages; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
Type :
conf
DOI :
10.1109/ISIMP.2001.925383
Filename :
925383
Link To Document :
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