Development of gesture database for an adaptive gesture recognition system

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: Mohd Azri, Abd Aziz, Khairunizam, Wan, Shahriman, Abu Bakar, Siti Khadijah, Za'ba, Abdul Halim, Ismail, Zuwairie, Ibrahim, Mohd Saberi, Mohamad
Other Authors: azriaziz@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20582
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spelling my.unimap-205822012-08-09T01:53:44Z Development of gesture database for an adaptive gesture recognition system Mohd Azri, Abd Aziz Khairunizam, Wan Shahriman, Abu Bakar Siti Khadijah, Za'ba Abdul Halim, Ismail Zuwairie, Ibrahim Mohd Saberi, Mohamad azriaziz@unimap.edu.my Image sensing Hand trajectories Individual factors Adaptive Gesture Recognition System 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. The use of human motions for the interaction between humans and computers is becoming an attractive alternative, especially through the visual interpretation of the human body motion. In particular, hand gesture is used as a non-verbal media for the human to communicate with machines that pertains to the use of human gesture to interact with them. Recently, many studies for recognizing the human gesture have been reported, and most of them deal with the shape and motion of hands. Moreover, they also discuss on factor that contributed to the effect of individual factors in arm motions. This paper mainly concentrated on the development of a gesture database to eliminate individual factors which affect the efficiency of the recognition system. An adaptive gesture recognition system is proposed, and the system could adaptively select the correspond database for the purpose of comparison with the input gesture. A classification algorithm is introduced to investigate whether the individual factor is the primary cause that affects the efficiency of the recognition system. In this study, by examining the characteristics of hand trajectories, motion features are selected and classified by using a statistical approach. 2012-08-09T01:53:44Z 2012-08-09T01:53:44Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20582 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 Image sensing
Hand trajectories
Individual factors
Adaptive Gesture Recognition System
spellingShingle Image sensing
Hand trajectories
Individual factors
Adaptive Gesture Recognition System
Mohd Azri, Abd Aziz
Khairunizam, Wan
Shahriman, Abu Bakar
Siti Khadijah, Za'ba
Abdul Halim, Ismail
Zuwairie, Ibrahim
Mohd Saberi, Mohamad
Development of gesture database for an adaptive gesture recognition system
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 azriaziz@unimap.edu.my
author_facet azriaziz@unimap.edu.my
Mohd Azri, Abd Aziz
Khairunizam, Wan
Shahriman, Abu Bakar
Siti Khadijah, Za'ba
Abdul Halim, Ismail
Zuwairie, Ibrahim
Mohd Saberi, Mohamad
format Working Paper
author Mohd Azri, Abd Aziz
Khairunizam, Wan
Shahriman, Abu Bakar
Siti Khadijah, Za'ba
Abdul Halim, Ismail
Zuwairie, Ibrahim
Mohd Saberi, Mohamad
author_sort Mohd Azri, Abd Aziz
title Development of gesture database for an adaptive gesture recognition system
title_short Development of gesture database for an adaptive gesture recognition system
title_full Development of gesture database for an adaptive gesture recognition system
title_fullStr Development of gesture database for an adaptive gesture recognition system
title_full_unstemmed Development of gesture database for an adaptive gesture recognition system
title_sort development of gesture database for an adaptive gesture recognition system
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20582
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score 13.18916