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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21275

Title: Development of gesture database for an adaptive gesture recognition system
Authors: Mohd Azri, Abd Aziz
Wan Khairunizam, Wan Ahmad
Siti Khadijah, Zaaba
Shahriman, Abu Bakar, Dr.
Nazrul Hamizi, Adnan
Rudzuan, Mohd Nor
???metadata.dc.contributor.url???: azriaziz@unimap.edu.my
Keywords: Arm motion;Human computer interaction;Hand trajectories;Individual factors;Statistical approach;Adaptive Gesture Recognition System;Gesture database
Issue Date: Aug-2012
Publisher: IJENS Publishers
Citation: International Journal of Electrical & Computer Sciences IJECS-IJENS, vol. 12 (04), 2012, pages 38-44
Abstract: The application of human gesture for the interaction between humans and computers is becoming an impressive alternative. Particularly, hand gesture is used as a non-verbal communication between human and machines. Most of recent studies for gesture recognition deal with the shape and movement of hands and also discussion 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. The result shows that the individual factor, affects the efficiency of the recognition system. Moreover, the body structure of the performer needs to be considered in the development of the gesture database.
Description: Link to publisher's homepage http://www.ijens.org/
URI: http://www.ijens.org/Vol_12_I_04/1210204-3737-IJECS-IJENS.pdf
http://hdl.handle.net/123456789/21275
ISSN: 2077-1231 (Online)
2227-2739 (Print)
Appears in Collections:Siti Khadijah Za'aba, Dr.
Shahriman Abu Bakar, Dr.
School of Mechatronic Engineering (Articles)

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