Continuous Arabic Sign Language Recognition in User Dependent Mode
Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic visionbased recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this paper we report the first continuous Arabic Sign Language by building on exis...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| التنسيق: | article |
| منشور في: |
2010
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/8832 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513434082607104 |
|---|---|
| author | Assaleh, Khaled |
| author2 | Shanableh, Tamer Fanaswala, Mustafa Amin, F. Bajaj, H. |
| author2_role | author author author author |
| author_facet | Assaleh, Khaled Shanableh, Tamer Fanaswala, Mustafa Amin, F. Bajaj, H. |
| author_role | author |
| dc.creator.none.fl_str_mv | Assaleh, Khaled Shanableh, Tamer Fanaswala, Mustafa Amin, F. Bajaj, H. |
| dc.date.none.fl_str_mv | 2010 2017-05-04T10:57:11Z 2017-05-04T10:57:11Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | K. Assaleh, T. Shanableh, M. Fanaswala, F. Amin and H. Bajaj, "Continuous Arabic Sign Language Recognition in User Dependent Mode," Journal of Intelligent Learning Systems and Applications, Vol. 2 No. 1, 2010, pp. 19-27. doi: 10.4236/jilsa.2010.21003. 2150-8410 http://hdl.handle.net/11073/8832 10.4236/jilsa.2010.21003 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | Scientific Research |
| dc.relation.none.fl_str_mv | http://dx.doi.org/10.4236/jilsa.2010.21003 |
| dc.subject.none.fl_str_mv | Pattern recognition Motion analysis Image/video processing Sign language |
| dc.title.none.fl_str_mv | Continuous Arabic Sign Language Recognition in User Dependent Mode |
| dc.type.none.fl_str_mv | Postprint Peer-Reviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic visionbased recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this paper we report the first continuous Arabic Sign Language by building on existing research in feature extraction and pattern recognition. The development of the presented work required collecting a continuous Arabic Sign Language database which we designed and recorded in cooperation with a sign language expert. We intend to make the collected database available for the research community. Our system which we based on spatio-temporal feature extraction and hidden Markov models has resulted in an average word recognition rate of 94%, keeping in the mind the use of a high perplexity vocabulary and unrestrictive grammar. We compare our proposed work against existing sign language techniques based on accumulated image difference and motion estimation. The experimental results section shows that the proposed work outperforms existing solutions in terms of recognition accuracy. |
| format | article |
| id | aus_304bf731ae5d4d4f61186a092eac523c |
| identifier_str_mv | K. Assaleh, T. Shanableh, M. Fanaswala, F. Amin and H. Bajaj, "Continuous Arabic Sign Language Recognition in User Dependent Mode," Journal of Intelligent Learning Systems and Applications, Vol. 2 No. 1, 2010, pp. 19-27. doi: 10.4236/jilsa.2010.21003. 2150-8410 10.4236/jilsa.2010.21003 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/8832 |
| publishDate | 2010 |
| publisher.none.fl_str_mv | Scientific Research |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Continuous Arabic Sign Language Recognition in User Dependent ModeAssaleh, KhaledShanableh, TamerFanaswala, MustafaAmin, F.Bajaj, H.Pattern recognitionMotion analysisImage/video processingSign languageArabic Sign Language recognition is an emerging field of research. Previous attempts at automatic visionbased recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this paper we report the first continuous Arabic Sign Language by building on existing research in feature extraction and pattern recognition. The development of the presented work required collecting a continuous Arabic Sign Language database which we designed and recorded in cooperation with a sign language expert. We intend to make the collected database available for the research community. Our system which we based on spatio-temporal feature extraction and hidden Markov models has resulted in an average word recognition rate of 94%, keeping in the mind the use of a high perplexity vocabulary and unrestrictive grammar. We compare our proposed work against existing sign language techniques based on accumulated image difference and motion estimation. The experimental results section shows that the proposed work outperforms existing solutions in terms of recognition accuracy.Scientific Research2017-05-04T10:57:11Z2017-05-04T10:57:11Z2010PostprintPeer-Reviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfK. Assaleh, T. Shanableh, M. Fanaswala, F. Amin and H. Bajaj, "Continuous Arabic Sign Language Recognition in User Dependent Mode," Journal of Intelligent Learning Systems and Applications, Vol. 2 No. 1, 2010, pp. 19-27. doi: 10.4236/jilsa.2010.21003.2150-8410http://hdl.handle.net/11073/883210.4236/jilsa.2010.21003en_UShttp://dx.doi.org/10.4236/jilsa.2010.21003oai:repository.aus.edu:11073/88322024-08-22T12:08:33Z |
| spellingShingle | Continuous Arabic Sign Language Recognition in User Dependent Mode Assaleh, Khaled Pattern recognition Motion analysis Image/video processing Sign language |
| status_str | publishedVersion |
| title | Continuous Arabic Sign Language Recognition in User Dependent Mode |
| title_full | Continuous Arabic Sign Language Recognition in User Dependent Mode |
| title_fullStr | Continuous Arabic Sign Language Recognition in User Dependent Mode |
| title_full_unstemmed | Continuous Arabic Sign Language Recognition in User Dependent Mode |
| title_short | Continuous Arabic Sign Language Recognition in User Dependent Mode |
| title_sort | Continuous Arabic Sign Language Recognition in User Dependent Mode |
| topic | Pattern recognition Motion analysis Image/video processing Sign language |
| url | http://hdl.handle.net/11073/8832 |