Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCIS.2011.6070334
Title: Human motion tracking in a wireless network of mobile and static sensors
Authors: Ong, L.-L.
Han, M.-D.
Xiao, W.-D.
Tham, C.-K. 
Ang Jr., M.H. 
Issue Date: 2011
Source: Ong, L.-L.,Han, M.-D.,Xiao, W.-D.,Tham, C.-K.,Ang Jr., M.H. (2011). Human motion tracking in a wireless network of mobile and static sensors. Proceedings of the 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011 : 235-240. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCIS.2011.6070334
Abstract: This paper presents the development of an integrated mobile and static wireless sensor network (WSN) for the purpose of tracking a human in a home environment. Majority of tracking solutions rely on expensive sensors with high power requirements, which are not scalable nor suitable for systems requiring a long network lifetime. Our approach is to use inexpensive off-the-shelf stationary ranging sensors, placed at known locations in the environment. However, issues encountered when tracking a human with a limited number of sensors may include a poor tracking estimate and poor coverage regions where the static sensors are unable to detect the target of interest. An alternative to increasing the number of static sensors deployed, is to integrate single mobile sensor into the network. A collaborative sensor selection scheme is applied to static sensors which returns the measurement that will yield the highest information gain and maximise the network lifetime. Results show that with a robot following the human, the regions where the human is detected is increased and an improved tracking estimate is obtained from the fusion of static and mobile sensor readings. © 2011 IEEE.
Source Title: Proceedings of the 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/51179
ISBN: 9781612841984
DOI: 10.1109/ICCIS.2011.6070334
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