Review of gesture recognition for virtual automotive training applications
In a virtual system, gesture is considered as a natural way for communication between human and computers.Gesture recognition is the process of recognizing and interpreting a stream of continuous sequential gesture from a given set of input data.The main goal of gesture recognition is to create a sy...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/21382/1/IJIDM%204%201%202016%2040%2045.pdf |
| _version_ | 1825804547982884864 |
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| author | Zamalik, Sarah N. Abu Bakar, Juliana Aida Yaakub, Abdul Razak |
| author_facet | Zamalik, Sarah N. Abu Bakar, Juliana Aida Yaakub, Abdul Razak |
| author_sort | Zamalik, Sarah N. |
| collection | UUM |
| description | In a virtual system, gesture is considered as a natural way for communication between human and computers.Gesture recognition is the process of recognizing and interpreting a stream of continuous sequential gesture from a given set of input data.The main goal of gesture recognition is to create a system which can recognize specific human gestures and use them to convey information or to control a device and/or application.The objective of this paper is to review gesture-based recognition methods and its applications as an approach to improve user interaction particularly for virtual automotive training.Review of applications and techniques of gesture recognition system will be provided with emphasis on hand gesture expressions.The major techniques include HMMs, ANN, and fuzzy clustering will be reviewed and analyzed. |
| first_indexed | 2024-07-04T06:17:20Z |
| format | Article |
| id | uum-21382 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:17:20Z |
| publishDate | 2016 |
| record_format | eprints |
| spelling | uum-213822017-04-04T03:24:39Z https://repo.uum.edu.my/id/eprint/21382/ Review of gesture recognition for virtual automotive training applications Zamalik, Sarah N. Abu Bakar, Juliana Aida Yaakub, Abdul Razak QA75 Electronic computers. Computer science In a virtual system, gesture is considered as a natural way for communication between human and computers.Gesture recognition is the process of recognizing and interpreting a stream of continuous sequential gesture from a given set of input data.The main goal of gesture recognition is to create a system which can recognize specific human gestures and use them to convey information or to control a device and/or application.The objective of this paper is to review gesture-based recognition methods and its applications as an approach to improve user interaction particularly for virtual automotive training.Review of applications and techniques of gesture recognition system will be provided with emphasis on hand gesture expressions.The major techniques include HMMs, ANN, and fuzzy clustering will be reviewed and analyzed. 2016 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/21382/1/IJIDM%204%201%202016%2040%2045.pdf Zamalik, Sarah N. and Abu Bakar, Juliana Aida and Yaakub, Abdul Razak (2016) Review of gesture recognition for virtual automotive training applications. International Journal of Interactive Digital Media (IJIDM), 4 (1). ISSN 2289-4098 http://ijidm.org/wp-content/uploads/04-01-09-Review-of-Gesture-Recognition-for-Virtual-Automotive-Training-Applications.pdf |
| spellingShingle | QA75 Electronic computers. Computer science Zamalik, Sarah N. Abu Bakar, Juliana Aida Yaakub, Abdul Razak Review of gesture recognition for virtual automotive training applications |
| title | Review of gesture recognition for virtual automotive training applications |
| title_full | Review of gesture recognition for virtual automotive training applications |
| title_fullStr | Review of gesture recognition for virtual automotive training applications |
| title_full_unstemmed | Review of gesture recognition for virtual automotive training applications |
| title_short | Review of gesture recognition for virtual automotive training applications |
| title_sort | review of gesture recognition for virtual automotive training applications |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/21382/1/IJIDM%204%201%202016%2040%2045.pdf |
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