Gesture recognition based on hand postures and trajectories by using dataglove: A fuzzy probability approach – A review

International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.

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Main Authors: Wan Khairunizam, Wan Ahmad, Dr, Nazrul Hamizi, Adnan, Shahriman, Abu Bakar, Dr., Siti Khadijah, Za’ba, Dr., Mohd Azri, Abd Aziz
Other Authors: khairunizam@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20458
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Institution: Universiti Malaysia Perlis
Language: English
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spelling my.unimap-204582012-07-19T09:51:30Z Gesture recognition based on hand postures and trajectories by using dataglove: A fuzzy probability approach – A review Wan Khairunizam, Wan Ahmad, Dr Nazrul Hamizi, Adnan Shahriman, Abu Bakar, Dr. Siti Khadijah, Za’ba, Dr. Mohd Azri, Abd Aziz khairunizam@unimap.edu.my shahriman@unimap.edu.my Sign language (SL) Nonverbal communication Data Glove Gesture Recognition General tracking of three-dimensional hand orientation International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. Many deaf people communicate with hearing people either through interpreter or text writing. However, some of them are able to use sign language (SL). SL is a language which determines a form of nonverbal communication in which visible bodily actions are used to communicate particular messages, either in place of speech or together and in parallel with spoken words. Nowadays, many facilities for the deaf and could not speak person was created. Among them are quite popular right now is Data glove. A device capable of recording hand movements, both the position of the hand and its orientation as well as finger movements; it is capable of simple gesture recognition and general tracking of three-dimensional hand orientation. 2012-07-19T09:51:30Z 2012-07-19T09:51:30Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20458 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Sign language (SL)
Nonverbal communication
Data Glove
Gesture Recognition
General tracking of three-dimensional hand orientation
spellingShingle Sign language (SL)
Nonverbal communication
Data Glove
Gesture Recognition
General tracking of three-dimensional hand orientation
Wan Khairunizam, Wan Ahmad, Dr
Nazrul Hamizi, Adnan
Shahriman, Abu Bakar, Dr.
Siti Khadijah, Za’ba, Dr.
Mohd Azri, Abd Aziz
Gesture recognition based on hand postures and trajectories by using dataglove: A fuzzy probability approach – A review
description International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 khairunizam@unimap.edu.my
author_facet khairunizam@unimap.edu.my
Wan Khairunizam, Wan Ahmad, Dr
Nazrul Hamizi, Adnan
Shahriman, Abu Bakar, Dr.
Siti Khadijah, Za’ba, Dr.
Mohd Azri, Abd Aziz
format Working Paper
author Wan Khairunizam, Wan Ahmad, Dr
Nazrul Hamizi, Adnan
Shahriman, Abu Bakar, Dr.
Siti Khadijah, Za’ba, Dr.
Mohd Azri, Abd Aziz
author_sort Wan Khairunizam, Wan Ahmad, Dr
title Gesture recognition based on hand postures and trajectories by using dataglove: A fuzzy probability approach – A review
title_short Gesture recognition based on hand postures and trajectories by using dataglove: A fuzzy probability approach – A review
title_full Gesture recognition based on hand postures and trajectories by using dataglove: A fuzzy probability approach – A review
title_fullStr Gesture recognition based on hand postures and trajectories by using dataglove: A fuzzy probability approach – A review
title_full_unstemmed Gesture recognition based on hand postures and trajectories by using dataglove: A fuzzy probability approach – A review
title_sort gesture recognition based on hand postures and trajectories by using dataglove: a fuzzy probability approach – a review
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20458
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