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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Series: | International Journal of Distributed Sensor Networks |
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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 |
work_keys_str_mv |
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1724522557602791424 |