Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/20458
Title: Gesture recognition based on hand postures and trajectories by using dataglove: A fuzzy probability approach – A review
Authors: 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
Keywords: Sign language (SL)
Nonverbal communication
Data Glove
Gesture Recognition
General tracking of three-dimensional hand orientation
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)
Abstract: 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.
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.
URI: http://dspace.unimap.edu.my/123456789/20458
Appears in Collections:Conference Papers
Mohd Azri Abd Aziz, Mr.
Shahriman Abu Bakar, Assoc. Prof. Ir. Ts. Dr.
Siti Khadijah Za'aba, Assoc. Prof. Ts. Dr.

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