Vision-based hand posture detection and recognition for sign language - A study
Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealing test bed for understanding more general principles for hand shape, location and motion trajectory. Hand posture shape in other words static gestures detection and recognition is crucial in SLs and p...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/5364/1/icom2011_sara.pdf |
| _version_ | 1825644656746037248 |
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| author | Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin |
| author_facet | Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin |
| author_sort | Bilal, Sara Mohammed Osman Saleh |
| collection | IIUM |
| description | Unlike general gestures, Sign Languages (SLs) are
highly structured so that it provides an appealing test bed for understanding more general principles for hand shape, location and motion trajectory. Hand posture shape in other words static gestures detection and recognition is crucial in SLs and plays an important role within the duration of the motion trajectory.
Vision-based hand shape recognition can be accomplished using three approaches 3D hand modelling, appearance-based
methods and hand shape analysis. In this survey paper, we show that extracting features from hand shape is so essential during recognition stage for applications such as SL translators. |
| first_indexed | 2024-03-05T22:36:01Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:5364 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:36:01Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:53642013-11-01T06:14:56Z http://irep.iium.edu.my/5364/ Vision-based hand posture detection and recognition for sign language - A study Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin TJ212 Control engineering Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealing test bed for understanding more general principles for hand shape, location and motion trajectory. Hand posture shape in other words static gestures detection and recognition is crucial in SLs and plays an important role within the duration of the motion trajectory. Vision-based hand shape recognition can be accomplished using three approaches 3D hand modelling, appearance-based methods and hand shape analysis. In this survey paper, we show that extracting features from hand shape is so essential during recognition stage for applications such as SL translators. 2011 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/5364/1/icom2011_sara.pdf Bilal, Sara Mohammed Osman Saleh and Akmeliawati, Rini and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin (2011) Vision-based hand posture detection and recognition for sign language - A study. In: 2011 4th International Conference on Mechatronics: Integrated Engineering for Industrial and Societal Development (ICOM 2011), 17-19 May, 2011, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ICOM.2011.5937178 doi:10.1109/ICOM.2011.5937178 |
| spellingShingle | TJ212 Control engineering Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin Vision-based hand posture detection and recognition for sign language - A study |
| title | Vision-based hand posture detection and recognition for sign language - A study |
| title_full | Vision-based hand posture detection and recognition for sign language - A study |
| title_fullStr | Vision-based hand posture detection and recognition for sign language - A study |
| title_full_unstemmed | Vision-based hand posture detection and recognition for sign language - A study |
| title_short | Vision-based hand posture detection and recognition for sign language - A study |
| title_sort | vision based hand posture detection and recognition for sign language a study |
| topic | TJ212 Control engineering |
| url | http://irep.iium.edu.my/5364/1/icom2011_sara.pdf |
| work_keys_str_mv | AT bilalsaramohammedosmansaleh visionbasedhandposturedetectionandrecognitionforsignlanguageastudy AT akmeliawatirini visionbasedhandposturedetectionandrecognitionforsignlanguageastudy AT salamimomohjimohemiyoka visionbasedhandposturedetectionandrecognitionforsignlanguageastudy AT shafieamirakramin visionbasedhandposturedetectionandrecognitionforsignlanguageastudy |