Hand gesture recognition using hidden markov models: a review on techniques and approaches
Many ways of communications are used between human and computer, while using gesture is considered to be one of the most natural ways in a virtual reality system. Hand gesture is one of the typical methods of non-verbal communication for human beings and we naturally use various gestures to express...
| Main Authors: | , , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2006
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| Subjects: | |
| Online Access: | http://eprints.utm.my/3057/ http://eprints.utm.my/3057/1/Noor_Saliza_%28edited%29.doc |
| _version_ | 1848890496534970368 |
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| author | Mohd. Salleh, Noor Saliza Jais, Jamilin Mazalan, Lucyantie Ismail, Roslan Yussof, Salman Ahmad, Azhana Anuar, Adzly Mohamad, Dzulkifli |
| author_facet | Mohd. Salleh, Noor Saliza Jais, Jamilin Mazalan, Lucyantie Ismail, Roslan Yussof, Salman Ahmad, Azhana Anuar, Adzly Mohamad, Dzulkifli |
| author_sort | Mohd. Salleh, Noor Saliza |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Many ways of communications are used between human and computer, while using gesture is considered to be one of the most natural ways in a virtual reality system. Hand gesture is one of the typical methods of non-verbal communication for human beings and we naturally use various gestures to express our own intentions in everyday life. Gesture recognizers are supposed to capture and analyze the information transmitted by the hands of a person who communicates in sign language. This is a prerequisite for automatic sign-to-spoken-language translation, which has the potential to support the integration of deaf people into society. This paper present part of literature review on ongoing research and findings on different technique and approaches in gesture recognition using Hidden Markov Models for vision-based approach. |
| first_indexed | 2025-11-15T20:43:00Z |
| format | Conference or Workshop Item |
| id | utm-3057 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:43:00Z |
| publishDate | 2006 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-30572017-08-29T04:35:32Z http://eprints.utm.my/3057/ Hand gesture recognition using hidden markov models: a review on techniques and approaches Mohd. Salleh, Noor Saliza Jais, Jamilin Mazalan, Lucyantie Ismail, Roslan Yussof, Salman Ahmad, Azhana Anuar, Adzly Mohamad, Dzulkifli QA75 Electronic computers. Computer science Many ways of communications are used between human and computer, while using gesture is considered to be one of the most natural ways in a virtual reality system. Hand gesture is one of the typical methods of non-verbal communication for human beings and we naturally use various gestures to express our own intentions in everyday life. Gesture recognizers are supposed to capture and analyze the information transmitted by the hands of a person who communicates in sign language. This is a prerequisite for automatic sign-to-spoken-language translation, which has the potential to support the integration of deaf people into society. This paper present part of literature review on ongoing research and findings on different technique and approaches in gesture recognition using Hidden Markov Models for vision-based approach. 2006-12-11 Conference or Workshop Item NonPeerReviewed application/msword en http://eprints.utm.my/3057/1/Noor_Saliza_%28edited%29.doc Mohd. Salleh, Noor Saliza and Jais, Jamilin and Mazalan, Lucyantie and Ismail, Roslan and Yussof, Salman and Ahmad, Azhana and Anuar, Adzly and Mohamad, Dzulkifli (2006) Hand gesture recognition using hidden markov models: a review on techniques and approaches. In: The 2nd Malaysian MySEC’06 Software Engineering Conference, 11 & 12 Dec. 2006, Hotel Crown Princess Kuala Lumpur. |
| spellingShingle | QA75 Electronic computers. Computer science Mohd. Salleh, Noor Saliza Jais, Jamilin Mazalan, Lucyantie Ismail, Roslan Yussof, Salman Ahmad, Azhana Anuar, Adzly Mohamad, Dzulkifli Hand gesture recognition using hidden markov models: a review on techniques and approaches |
| title | Hand gesture recognition using hidden markov models: a review on techniques and approaches
|
| title_full | Hand gesture recognition using hidden markov models: a review on techniques and approaches
|
| title_fullStr | Hand gesture recognition using hidden markov models: a review on techniques and approaches
|
| title_full_unstemmed | Hand gesture recognition using hidden markov models: a review on techniques and approaches
|
| title_short | Hand gesture recognition using hidden markov models: a review on techniques and approaches
|
| title_sort | hand gesture recognition using hidden markov models: a review on techniques and approaches |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/3057/ http://eprints.utm.my/3057/1/Noor_Saliza_%28edited%29.doc |