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Gesture recognition based on the probability distribution of arm trajectories

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Bibliographic Details
Main Authors: Wan Khairunizam, Wan Ahmad, Dr., Hideyuki, Sawada
Other Authors: khairunizam@unimap.edu.my
Format: Article
Language:English
Published: The Society of Instrument and Control Engineers 2012
Subjects:
Upper body motion
Arm trajectory
Fuzzy technique
Gesture recognition
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20230
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spelling my.unimap-202302012-07-09T09:09:21Z Gesture recognition based on the probability distribution of arm trajectories Wan Khairunizam, Wan Ahmad, Dr. Hideyuki, Sawada khairunizam@unimap.edu.my Upper body motion Arm trajectory Fuzzy technique Gesture recognition Link to publisher's homepage at http://www.sice.or.jp/ The use of human motions for the interaction between humans and computers is becoming an attractive alternative to verbal media, especially through the visual interpretation of the human body motion. In particular, hand gestures are used as non-verbal media for the humans to communicate with machines that pertain to the use of the human gestures to interact with them. This paper introduces a 3D motion measurement of the human upper body for the purpose of the gesture recognition, which is based on the probability distribution of arm trajectories. In this study, by examining the characteristics of the arm trajectories given by a signer, motion features are selected and classified by using a fuzzy technique. Experimental results show that the use of the features extracted from arm trajectories effectively works on the recognition of dynamic gestures of a human, and gives a good performance to classify various gesture patterns. 2012-07-09T09:09:21Z 2012-07-09T09:09:21Z 2009-09 Article Journal of Control, Measurement, and System Integration, vol. 2 (5), 2009, pages 263–270 1882-4889 https://www.jstage.jst.go.jp/article/jcmsi/2/5/2_5_263/_article http://hdl.handle.net/123456789/20230 en The Society of Instrument and Control Engineers
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 Upper body motion
Arm trajectory
Fuzzy technique
Gesture recognition
spellingShingle Upper body motion
Arm trajectory
Fuzzy technique
Gesture recognition
Wan Khairunizam, Wan Ahmad, Dr.
Hideyuki, Sawada
Gesture recognition based on the probability distribution of arm trajectories
description Link to publisher's homepage at http://www.sice.or.jp/
author2 khairunizam@unimap.edu.my
author_facet khairunizam@unimap.edu.my
Wan Khairunizam, Wan Ahmad, Dr.
Hideyuki, Sawada
format Article
author Wan Khairunizam, Wan Ahmad, Dr.
Hideyuki, Sawada
author_sort Wan Khairunizam, Wan Ahmad, Dr.
title Gesture recognition based on the probability distribution of arm trajectories
title_short Gesture recognition based on the probability distribution of arm trajectories
title_full Gesture recognition based on the probability distribution of arm trajectories
title_fullStr Gesture recognition based on the probability distribution of arm trajectories
title_full_unstemmed Gesture recognition based on the probability distribution of arm trajectories
title_sort gesture recognition based on the probability distribution of arm trajectories
publisher The Society of Instrument and Control Engineers
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20230
_version_ 1643793015594024960
score 13.214268

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