A Novel Human Motion Tracking Approach Based on a Wireless Sensor Network

This paper proposes a human motion tracking approach for a daily life surveillance in a distributed wireless sensor network using ultrasonic range sensors. Because the human target often moves with high nonlinearity, the proposed approach applies the unscented Kalman filter (UKF) technique. A novel...

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Main Authors: Sen Zhang, Wendong Xiao, Jun Gong, Yixin Yin
Format: Article
Language:English
Published: SAGE Publishing 2013-02-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/636052
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spelling doaj-f8e710cb44f540aaa85ea1aae16667302020-11-25T03:42:55ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-02-01910.1155/2013/636052A Novel Human Motion Tracking Approach Based on a Wireless Sensor NetworkSen Zhang0Wendong Xiao1Jun Gong2Yixin Yin3 School of Automation and Electrical Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Beijing 100083, China School of Automation and Electrical Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Beijing 100083, China State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang 110819, China School of Automation and Electrical Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Beijing 100083, ChinaThis paper proposes a human motion tracking approach for a daily life surveillance in a distributed wireless sensor network using ultrasonic range sensors. Because the human target often moves with high nonlinearity, the proposed approach applies the unscented Kalman filter (UKF) technique. A novel sensor node selection scheme at each time step considering both the tracking accuracy and the energy cost is presented. Experimental results in a real human motion tracking system show that the proposed approach can perform better tracking accuracy compared to the most recent human motion tracking scheme in the real testbed implementation.https://doi.org/10.1155/2013/636052
collection DOAJ
language English
format Article
sources DOAJ
author Sen Zhang
Wendong Xiao
Jun Gong
Yixin Yin
spellingShingle Sen Zhang
Wendong Xiao
Jun Gong
Yixin Yin
A Novel Human Motion Tracking Approach Based on a Wireless Sensor Network
International Journal of Distributed Sensor Networks
author_facet Sen Zhang
Wendong Xiao
Jun Gong
Yixin Yin
author_sort Sen Zhang
title A Novel Human Motion Tracking Approach Based on a Wireless Sensor Network
title_short A Novel Human Motion Tracking Approach Based on a Wireless Sensor Network
title_full A Novel Human Motion Tracking Approach Based on a Wireless Sensor Network
title_fullStr A Novel Human Motion Tracking Approach Based on a Wireless Sensor Network
title_full_unstemmed A Novel Human Motion Tracking Approach Based on a Wireless Sensor Network
title_sort novel human motion tracking approach based on a wireless sensor network
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2013-02-01
description This paper proposes a human motion tracking approach for a daily life surveillance in a distributed wireless sensor network using ultrasonic range sensors. Because the human target often moves with high nonlinearity, the proposed approach applies the unscented Kalman filter (UKF) technique. A novel sensor node selection scheme at each time step considering both the tracking accuracy and the energy cost is presented. Experimental results in a real human motion tracking system show that the proposed approach can perform better tracking accuracy compared to the most recent human motion tracking scheme in the real testbed implementation.
url https://doi.org/10.1155/2013/636052
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