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Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring
Higher Technical School of Computer Engineering, University of Vigo, Polytechnic Building, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain
INOV INESC INNOVATION, Institute of New Technologies of Leiria, P-2411-901, Leiria, Portugal
Computer Science and Communications Research Centre, School of Technology and Management, Polytechnic Institute of Leiria, P-2411-901, Leiria, Portugal
* Author to whom correspondence should be addressed.
Received: 16 July 2012; in revised form: 5 September 2012 / Accepted: 10 September 2012 / Published: 13 September 2012
Abstract: The technological advances in medical sensors, low-power microelectronics and miniaturization, wireless communications and networks have enabled the appearance of a new generation of wireless sensor networks: the so-called wireless body area networks (WBAN). These networks can be used for continuous monitoring of vital parameters, movement, and the surrounding environment. The data gathered by these networks contributes to improve users’ quality of life and allows the creation of a knowledge database by using learning techniques, useful to infer abnormal behaviour. In this paper we present a wireless body area network architecture to recognize human movement, identify human postures and detect harmful activities in order to prevent risk situations. The WBAN was created using tiny, cheap and low-power nodes with inertial and physiological sensors, strategically placed on the human body. Doing so, in an as ubiquitous as possible way, ensures that its impact on the users’ daily actions is minimum. The information collected by these sensors is transmitted to a central server capable of analysing and processing their data. The proposed system creates movement profiles based on the data sent by the WBAN’s nodes, and is able to detect in real time any abnormal movement and allows for a monitored rehabilitation of the user.
Keywords: Wireless Body Area Networks; motion recognition; rehabilitation; profiling; inertial and physiological sensors
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Cite This Article
MDPI and ACS Style
Felisberto, F.; Costa, N.; Fdez-Riverola, F.; Pereira, A. Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring. Sensors 2012, 12, 12473-12488.
Felisberto F, Costa N, Fdez-Riverola F, Pereira A. Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring. Sensors. 2012; 12(9):12473-12488.
Felisberto, Filipe; Costa, Nuno; Fdez-Riverola, Florentino; Pereira, António. 2012. "Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring." Sensors 12, no. 9: 12473-12488.