Development of an adaptive hand gesture database: Motion trajectories cue
The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Po...
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Universiti Malaysia Perlis (UniMAP)
2013
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my.unimap-305082013-12-13T07:35:39Z Development of an adaptive hand gesture database: Motion trajectories cue Mohd Azri, Abd Aziz Wan Khairunizam, Wan Ahmad, Dr. Shahriman, Abu Bakar, Dr. Siti Khadijah, Za'ba, Dr, Shafriza Nisha, Basah, Dr. Abdul Halim, Ismail Nazrul Hamizi, Adnan Hazry, Desa, Assoc. Prof. Dr. M. Fadhil, Ramly azriaziz@unimap.edu.my khairunizam@unimap.edu.my shahriman@unimap.edu.my khadijah@unimap.edu.my shafriza@unimap.edu.my ihalim@unimap.edu.my nazrulhamizi.adnan@gmail.com hazry@unimap.edu.my fadhil_ramly@ymail.com Human computer interaction (HCI) Hand trajectories Individual factors Adaptive Gesture Recognition System The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. The developments of computer technology become more fascinated especially through human-computer interaction (HCI). The visual interpretations and analysis of the human body motion are the intermediary of interaction between human and computer. In particular, hand gesture is used as a non-verbal tool for human to communicate with machines that pertains to the use of human gesture, especially hand as a medium of interaction between them. Recently, many studies for recognizing the human gesture have been reported, and most of them deal with the shape and movement 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. Several performers were selected with several physical characteristic for the classification purposes. Experimental data were collected using geometrical gesture perform by the performers. 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 process by using Neural Networks approach is applied to investigate the individual factor that contribute to 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. 2013-12-13T07:35:39Z 2013-12-13T07:35:39Z 2012-06-18 Working Paper p. 562 - 570 978-967-5760-11-2 http://hdl.handle.net/123456789/30508 en Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP) |
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| language |
English |
| topic |
Human computer interaction (HCI) Hand trajectories Individual factors Adaptive Gesture Recognition System |
| spellingShingle |
Human computer interaction (HCI) Hand trajectories Individual factors Adaptive Gesture Recognition System Mohd Azri, Abd Aziz Wan Khairunizam, Wan Ahmad, Dr. Shahriman, Abu Bakar, Dr. Siti Khadijah, Za'ba, Dr, Shafriza Nisha, Basah, Dr. Abdul Halim, Ismail Nazrul Hamizi, Adnan Hazry, Desa, Assoc. Prof. Dr. M. Fadhil, Ramly Development of an adaptive hand gesture database: Motion trajectories cue |
| description |
The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. |
| author2 |
azriaziz@unimap.edu.my |
| author_facet |
azriaziz@unimap.edu.my Mohd Azri, Abd Aziz Wan Khairunizam, Wan Ahmad, Dr. Shahriman, Abu Bakar, Dr. Siti Khadijah, Za'ba, Dr, Shafriza Nisha, Basah, Dr. Abdul Halim, Ismail Nazrul Hamizi, Adnan Hazry, Desa, Assoc. Prof. Dr. M. Fadhil, Ramly |
| format |
Working Paper |
| author |
Mohd Azri, Abd Aziz Wan Khairunizam, Wan Ahmad, Dr. Shahriman, Abu Bakar, Dr. Siti Khadijah, Za'ba, Dr, Shafriza Nisha, Basah, Dr. Abdul Halim, Ismail Nazrul Hamizi, Adnan Hazry, Desa, Assoc. Prof. Dr. M. Fadhil, Ramly |
| author_sort |
Mohd Azri, Abd Aziz |
| title |
Development of an adaptive hand gesture database: Motion trajectories cue |
| title_short |
Development of an adaptive hand gesture database: Motion trajectories cue |
| title_full |
Development of an adaptive hand gesture database: Motion trajectories cue |
| title_fullStr |
Development of an adaptive hand gesture database: Motion trajectories cue |
| title_full_unstemmed |
Development of an adaptive hand gesture database: Motion trajectories cue |
| title_sort |
development of an adaptive hand gesture database: motion trajectories cue |
| publisher |
Universiti Malaysia Perlis (UniMAP) |
| publishDate |
2013 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/30508 |
| _version_ |
1643795591611809792 |
| score |
13.214268 |