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Paper Abstract and Keywords
Presentation 2013-03-15 16:50
Recognition of Fingerspelling in Japanese Sign Language based on Nail Detection and Wrist Position
Kohei Miura, Youngha Chang, Nobuhiko Mukai (Tokyo City Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) We have recognized fingerspellings in Japanese sign language from hand images. We can discriminate the front and back of hand by detecting nails. Also, by detecting the positions of the wrist and fingertips, we generate vectors for the recognition. Then, the vector generated based on the nail and wrist positions is compared with the one in database, and then the fingerspelling is recognized. As the result of the experiment for 41 fingerspellings that have not movement, the recognition rate was 75.6% for 7 examinees.
Keyword (in Japanese) (See Japanese page) 
(in English) Image Processing / Image Recognition / Japanese Sign Language / Fingerspelling / Nail Detection / / /  
Reference Info. ITE Tech. Rep., vol. 37, pp. 199-202, March 2013.
Paper #  
Date of Issue 2013-03-08 (AIT) 
ISSN Print edition: ISSN 1342-6893
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Conference Information
Committee AIT IIEEJ AS  
Conference Date 2013-03-15 - 2013-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Keio Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AS 
Conference Code 2013-03-AIT-IIEEJ-AS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recognition of Fingerspelling in Japanese Sign Language based on Nail Detection and Wrist Position 
Sub Title (in English)  
Keyword(1) Image Processing  
Keyword(2) Image Recognition  
Keyword(3) Japanese Sign Language  
Keyword(4) Fingerspelling  
Keyword(5) Nail Detection  
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1st Author's Name Kohei Miura  
1st Author's Affiliation Tokyo City University (Tokyo City Univ.)
2nd Author's Name Youngha Chang  
2nd Author's Affiliation Tokyo City University (Tokyo City Univ.)
3rd Author's Name Nobuhiko Mukai  
3rd Author's Affiliation Tokyo City University (Tokyo City Univ.)
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Speaker Author-1 
Date Time 2013-03-15 16:50:00 
Presentation Time 15 minutes 
Registration for AS 
Paper # AIT2013-97 
Volume (vol) vol.37 
Number (no) no.17 
Page pp.199-202 
#Pages
Date of Issue 2013-03-08 (AIT) 


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