An accelerometer-based approach to evaluate 3D unistroke gestures

This paper, presents an evaluation of Three Dimensional (3D) unistroke human arm gestures. Our scheme employs an accelerometer-based approach by using Nintendo� Wiimote as a gesture device. The system takes acceleration signals from Wiimote in order to, classify different gestures. It deals with n...

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Main Authors: Madani, T., Tahir, M., Ziauddin, S., Raza, S., Ahmed, M., Khan, M., Ashraf, M.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30780 /
Published: Zarka Private Univ 2015
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84936115398&partnerID=40&md5=a77c355fd9aeecd2b9ee916bdcf5a847
http://eprints.utp.edu.my/30780/
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spelling utp-eprints.307802022-03-25T07:18:36Z An accelerometer-based approach to evaluate 3D unistroke gestures Madani, T. Tahir, M. Ziauddin, S. Raza, S. Ahmed, M. Khan, M. Ashraf, M. This paper, presents an evaluation of Three Dimensional (3D) unistroke human arm gestures. Our scheme employs an accelerometer-based approach by using Nintendo� Wiimote as a gesture device. The system takes acceleration signals from Wiimote in order to, classify different gestures. It deals with numeric gestures, i.e., digits from 0 to 9 and simple mathematical operator gestures for addition, subtraction, multiplication and division. Two techniques, Dynamic Time Warping (DTW) and 2D trajectories are used to recognize and classify gestures. Successful recognition rates indicate that performing 3D gestures using accelerometer-based devices is intuitive and provides an effective means of interaction with computers. © 2015, Zarka Private Univ. All rights reserved. Zarka Private Univ 2015 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84936115398&partnerID=40&md5=a77c355fd9aeecd2b9ee916bdcf5a847 Madani, T. and Tahir, M. and Ziauddin, S. and Raza, S. and Ahmed, M. and Khan, M. and Ashraf, M. (2015) An accelerometer-based approach to evaluate 3D unistroke gestures. International Arab Journal of Information Technology, 12 (4). pp. 389-394. http://eprints.utp.edu.my/30780/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description This paper, presents an evaluation of Three Dimensional (3D) unistroke human arm gestures. Our scheme employs an accelerometer-based approach by using Nintendo� Wiimote as a gesture device. The system takes acceleration signals from Wiimote in order to, classify different gestures. It deals with numeric gestures, i.e., digits from 0 to 9 and simple mathematical operator gestures for addition, subtraction, multiplication and division. Two techniques, Dynamic Time Warping (DTW) and 2D trajectories are used to recognize and classify gestures. Successful recognition rates indicate that performing 3D gestures using accelerometer-based devices is intuitive and provides an effective means of interaction with computers. © 2015, Zarka Private Univ. All rights reserved.
format Article
author Madani, T.
Tahir, M.
Ziauddin, S.
Raza, S.
Ahmed, M.
Khan, M.
Ashraf, M.
spellingShingle Madani, T.
Tahir, M.
Ziauddin, S.
Raza, S.
Ahmed, M.
Khan, M.
Ashraf, M.
An accelerometer-based approach to evaluate 3D unistroke gestures
author_sort Madani, T.
title An accelerometer-based approach to evaluate 3D unistroke gestures
title_short An accelerometer-based approach to evaluate 3D unistroke gestures
title_full An accelerometer-based approach to evaluate 3D unistroke gestures
title_fullStr An accelerometer-based approach to evaluate 3D unistroke gestures
title_full_unstemmed An accelerometer-based approach to evaluate 3D unistroke gestures
title_sort accelerometer-based approach to evaluate 3d unistroke gestures
publisher Zarka Private Univ
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84936115398&partnerID=40&md5=a77c355fd9aeecd2b9ee916bdcf5a847
http://eprints.utp.edu.my/30780/
_version_ 1741197465496846336
score 11.62408

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