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Dynamic gesture recognition based on the probabilistic distribution of arm trajectory

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Bibliographic Details
Main Authors: Wan Khairunizam, Wan Ahmad, Dr., Sawada, Hideyuki
Other Authors: khairunizam@unimap.edu.my
Format: Working Paper
Language:English
Published: IEEE Conference Publications 2014
Subjects:
Probabilistic distributions
Engineering controlled terms
Engineering main heading
Gesture recognition
Fuzzy algorithms
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34031
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spelling my.unimap-340312014-04-24T04:31:14Z Dynamic gesture recognition based on the probabilistic distribution of arm trajectory Wan Khairunizam, Wan Ahmad, Dr. Sawada, Hideyuki khairunizam@unimap.edu.my Probabilistic distributions Engineering controlled terms Engineering main heading Gesture recognition Fuzzy algorithms Link to publisher's homepage at http://ieeexplore.ieee.org/ 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 humans 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. This paper introduces dynamic gesture recognition based on the arm trajectory and fuzzy algorithm approach. In this study, by examining the characteristics of the human upper body motions of a signer, motion features are selected and classified by using the fuzzy technique. Experimental results show that the use of the features extracted from the upper body motion effectively works on the recognition of the dynamic gesture of a human, and gives a good performance to classify various gesture patterns. 2014-04-24T04:31:14Z 2014-04-24T04:31:14Z 2008 Working Paper IEEE International Conference on Mechatronics and Automation, 2008, pages 426-431 978-142442632-4 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4798792&tag=1 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34031 10.1109/ICMA.2008.4798792 en IEEE Conference Publications
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 Probabilistic distributions
Engineering controlled terms
Engineering main heading
Gesture recognition
Fuzzy algorithms
spellingShingle Probabilistic distributions
Engineering controlled terms
Engineering main heading
Gesture recognition
Fuzzy algorithms
Wan Khairunizam, Wan Ahmad, Dr.
Sawada, Hideyuki
Dynamic gesture recognition based on the probabilistic distribution of arm trajectory
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 khairunizam@unimap.edu.my
author_facet khairunizam@unimap.edu.my
Wan Khairunizam, Wan Ahmad, Dr.
Sawada, Hideyuki
format Working Paper
author Wan Khairunizam, Wan Ahmad, Dr.
Sawada, Hideyuki
author_sort Wan Khairunizam, Wan Ahmad, Dr.
title Dynamic gesture recognition based on the probabilistic distribution of arm trajectory
title_short Dynamic gesture recognition based on the probabilistic distribution of arm trajectory
title_full Dynamic gesture recognition based on the probabilistic distribution of arm trajectory
title_fullStr Dynamic gesture recognition based on the probabilistic distribution of arm trajectory
title_full_unstemmed Dynamic gesture recognition based on the probabilistic distribution of arm trajectory
title_sort dynamic gesture recognition based on the probabilistic distribution of arm trajectory
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34031
_version_ 1643797377565327360
score 13.222552

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