Presentation 2005/3/21
A Sign Language Word Recognition System Based on the Forearm Jerk Considering the Human Gesuture Recognition Process
Takeaki NAKAYAMA, Naohiro FUKUMURA, Yoji UNO,
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Abstract(in English) In sign language-Japanese translation system, appropriate segmentation of a sentence improves precision of recognition. From an analysis of arm movements by gesture, a segmentation method based on the smoothness of the movement has been proposed. In this study, considering that the human focuses on the hand rather than the arm posture when he perceives a gesture, we define the forearm jerk that reflects a forearm's positional change and twist as an index of the smoothness of the movement, and propose an segmentation method of sign word based on this index. Considering that the human seems to segment a sentence to recognize words easily, word domains were decided to minimize the distance from the dictionary data, and a word of the smallest distance was selected as a candidate of translation term. Thsese results suggest the effectiveness of the sign language word recognition system based on the smoothness of the human arm movements.
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Keyword(in English) sign language / segmentation / recognition / forearm jerk / gesture
Paper # NC2004-167
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Committee NC
Conference Date 2005/3/21(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Sign Language Word Recognition System Based on the Forearm Jerk Considering the Human Gesuture Recognition Process
Sub Title (in English)
Keyword(1) sign language
Keyword(2) segmentation
Keyword(3) recognition
Keyword(4) forearm jerk
Keyword(5) gesture
1st Author's Name Takeaki NAKAYAMA
1st Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology()
2nd Author's Name Naohiro FUKUMURA
2nd Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology
3rd Author's Name Yoji UNO
3rd Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology
Date 2005/3/21
Paper # NC2004-167
Volume (vol) vol.104
Number (no) 758
Page pp.pp.-
#Pages 6
Date of Issue