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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | sign language / segmentation / recognition / forearm jerk / gesture |
Paper # | NC2004-167 |
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Committee | NC |
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Conference Date | 2005/3/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |