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Probability Distribution of Arm Trajectory for Motion Estimation and Gesture Recognition

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Main Authors: Wan Khairunizam, Wan Ahmad, Mohd Azri, Abdul Aziz, Shahriman, Abu Bakar, Siti Khadijah, Zaaba, Zuwairie, Ibrahim, Zulkifli, Md Yusof, Ismail, Ibrahim, Jameel Abdulla, Ahmed Mukred, N. Mokhtar
Format: Article
Language:English
Published: American Scientific Publishers 2013
Subjects:
Gesture recognition
Human motion measurement
Motion capture system
3D motion
Upper body motion
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/25494
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spelling my.unimap-254942013-05-16T01:39:27Z Probability Distribution of Arm Trajectory for Motion Estimation and Gesture Recognition Wan Khairunizam, Wan Ahmad Mohd Azri, Abdul Aziz Shahriman, Abu Bakar Siti Khadijah, Zaaba Zuwairie, Ibrahim Zulkifli, Md Yusof Ismail, Ibrahim Jameel Abdulla, Ahmed Mukred N. Mokhtar Gesture recognition Human motion measurement Motion capture system 3D motion Upper body motion Link to publisher's homepage at http://www.ingentaconnect.com/content/asp/asl In the human motion measurement, motion capture system is used to record the movement of the human body by using different types of sensors such as a magnetic position sensor, a mechanical motion detector and a vision sensor. The most challenging task in human motion measurement is to achieve the ability and reliability of a motion capture system for tracking and recognizing dynamic gestures, because human body structure has many degrees of freedom. This paper introduces a 3D motion measurement of the human upper body by using an optical motion capture system for the purpose of the estimation of human upper body motions, which is based on the probability distribution of arm trajectories. In this study, by examining the characteristic of the arm trajectory, motion features are selected and classified by using the fuzzy technique. The posture of the occluded body part is probabilistically estimated by using the aggregation of the fuzzy information of arm trajectories and the constructed human upper body model. Experimental results show that the use of the system effectively works for classifying various motion patterns and estimating the occluded posture in the motion. 2013-05-16T01:39:27Z 2013-05-16T01:39:27Z 2012-06-30 Article Advanced Science Letters, vol.13 (1), 2012 , pages 534-539 1936-6612 http://dx.doi.org/10.1166/asl.2012.3953 http://hdl.handle.net/123456789/25494 en American Scientific Publishers
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 Gesture recognition
Human motion measurement
Motion capture system
3D motion
Upper body motion
spellingShingle Gesture recognition
Human motion measurement
Motion capture system
3D motion
Upper body motion
Wan Khairunizam, Wan Ahmad
Mohd Azri, Abdul Aziz
Shahriman, Abu Bakar
Siti Khadijah, Zaaba
Zuwairie, Ibrahim
Zulkifli, Md Yusof
Ismail, Ibrahim
Jameel Abdulla, Ahmed Mukred
N. Mokhtar
Probability Distribution of Arm Trajectory for Motion Estimation and Gesture Recognition
description Link to publisher's homepage at http://www.ingentaconnect.com/content/asp/asl
format Article
author Wan Khairunizam, Wan Ahmad
Mohd Azri, Abdul Aziz
Shahriman, Abu Bakar
Siti Khadijah, Zaaba
Zuwairie, Ibrahim
Zulkifli, Md Yusof
Ismail, Ibrahim
Jameel Abdulla, Ahmed Mukred
N. Mokhtar
author_facet Wan Khairunizam, Wan Ahmad
Mohd Azri, Abdul Aziz
Shahriman, Abu Bakar
Siti Khadijah, Zaaba
Zuwairie, Ibrahim
Zulkifli, Md Yusof
Ismail, Ibrahim
Jameel Abdulla, Ahmed Mukred
N. Mokhtar
author_sort Wan Khairunizam, Wan Ahmad
title Probability Distribution of Arm Trajectory for Motion Estimation and Gesture Recognition
title_short Probability Distribution of Arm Trajectory for Motion Estimation and Gesture Recognition
title_full Probability Distribution of Arm Trajectory for Motion Estimation and Gesture Recognition
title_fullStr Probability Distribution of Arm Trajectory for Motion Estimation and Gesture Recognition
title_full_unstemmed Probability Distribution of Arm Trajectory for Motion Estimation and Gesture Recognition
title_sort probability distribution of arm trajectory for motion estimation and gesture recognition
publisher American Scientific Publishers
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/25494
_version_ 1643794645068546048
score 13.211869

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