Thai sign language translation system using upright speed-up robust feature and c-means clustering

Sign language is an important communication tool for the deaf. In this paper, we build a dynamic hand gesture translation system with video caption without prior hand region segmentation. In particular, we utilize the upright speed-up robust feature (U-SURF) and the fuzzy C-means (FCM) to find a mat...

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Main Authors: Chanda P., Auephanwiriyakul S., Theera-Umpon N.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-84867588322&partnerID=40&md5=2c85868eafce2cff1a22e82210467df1
http://cmuir.cmu.ac.th/handle/6653943832/1599
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-15992014-08-29T09:29:30Z Thai sign language translation system using upright speed-up robust feature and c-means clustering Chanda P. Auephanwiriyakul S. Theera-Umpon N. Sign language is an important communication tool for the deaf. In this paper, we build a dynamic hand gesture translation system with video caption without prior hand region segmentation. In particular, we utilize the upright speed-up robust feature (U-SURF) and the fuzzy C-means (FCM) to find a matched word. We compared the result with that from string grammar hard C-means (sgHCM). This Thai sign language translation system was tested on 42 words. The total number of video sequences used in the experiment is 1470. The best correct classification rate on the signer-dependent blind test set using the FCM is approximately 47 to 73%, whereas that of signer-semi-independent set is around 30 to 40%. The best blind test result for the signer-independent experiment is around 24 to 30%. However, the correct classification rate from the sgHCM is higher than that from the FCM. The best result for the signer-dependent experiment is around 97 to 99%, whereas that of the signer-semi-independent is around 64 to 65%. The correct classification rate of the signer-independent experiment is around 53 to 54%. © 2012 IEEE. 2014-08-29T09:29:30Z 2014-08-29T09:29:30Z 2012 Conference Paper 9.78147E+12 10987584 10.1109/FUZZ-IEEE.2012.6251155 93251 PIFSF http://www.scopus.com/inward/record.url?eid=2-s2.0-84867588322&partnerID=40&md5=2c85868eafce2cff1a22e82210467df1 http://cmuir.cmu.ac.th/handle/6653943832/1599 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description Sign language is an important communication tool for the deaf. In this paper, we build a dynamic hand gesture translation system with video caption without prior hand region segmentation. In particular, we utilize the upright speed-up robust feature (U-SURF) and the fuzzy C-means (FCM) to find a matched word. We compared the result with that from string grammar hard C-means (sgHCM). This Thai sign language translation system was tested on 42 words. The total number of video sequences used in the experiment is 1470. The best correct classification rate on the signer-dependent blind test set using the FCM is approximately 47 to 73%, whereas that of signer-semi-independent set is around 30 to 40%. The best blind test result for the signer-independent experiment is around 24 to 30%. However, the correct classification rate from the sgHCM is higher than that from the FCM. The best result for the signer-dependent experiment is around 97 to 99%, whereas that of the signer-semi-independent is around 64 to 65%. The correct classification rate of the signer-independent experiment is around 53 to 54%. © 2012 IEEE.
format Conference or Workshop Item
author Chanda P.
Auephanwiriyakul S.
Theera-Umpon N.
spellingShingle Chanda P.
Auephanwiriyakul S.
Theera-Umpon N.
Thai sign language translation system using upright speed-up robust feature and c-means clustering
author_facet Chanda P.
Auephanwiriyakul S.
Theera-Umpon N.
author_sort Chanda P.
title Thai sign language translation system using upright speed-up robust feature and c-means clustering
title_short Thai sign language translation system using upright speed-up robust feature and c-means clustering
title_full Thai sign language translation system using upright speed-up robust feature and c-means clustering
title_fullStr Thai sign language translation system using upright speed-up robust feature and c-means clustering
title_full_unstemmed Thai sign language translation system using upright speed-up robust feature and c-means clustering
title_sort thai sign language translation system using upright speed-up robust feature and c-means clustering
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84867588322&partnerID=40&md5=2c85868eafce2cff1a22e82210467df1
http://cmuir.cmu.ac.th/handle/6653943832/1599
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