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16044 Keep on Moving! Activity Monitoring and Stimulation Using Wireless Sensor Networks
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Bosch, S. and Marin-Perianu, M. and Marin-Perianu, R.S. and Havinga, P.J.M. and Hermens, H.J. (2009) Keep on Moving! Activity Monitoring and Stimulation Using Wireless Sensor Networks. In: Smart Sensing and Context: 4th European conference, EuroSSC, 16 Sept - 18 Sept 2009, Guildford, United Kingdom. pp. 11-23. Lecture Notes In Computer Science 5741. Springer Verlag. ISSN 0302-9743 ISBN 978-3-642-04470-0

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Official URL: http://dx.doi.org/10.1007/978-3-642-04471-7_2

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Abstract

Because health condition and quality of life are directly influenced by the amount and intensity of daily physical activity, monitoring the level of activity has gained interest in recent years for various medical and wellbeing applications. In this paper we describe our experience with implementing and evaluating physical activity monitoring and stimulation using wireless sensor networks and motion sensors. Our prototype provides feedback on the activity level of users using a simple colored light. We conduct experiments on multiple test subjects, performing multiple normal daily activities. The results from our experiments represent the motivation for and a first step towards robust complex physical activity monitoring with multiple sensors distributed over a person’s body. The results show that using a single sensor on the body is inadequate in certain situations. Results also indicate that feedback provided on a person’s activity level can stimulate the person to do more exercise. Using multiple sensor nodes and sensor modalities per subject would improve the activity estimation performance, provided that the sensor nodes are small and inconspicuous.

Item Type:Conference or Workshop Paper (Full Paper, Talk, Poster)
Research Group:EWI-PS: Pervasive Systems, EWI-BSS: Biomedical Signals and Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:IS-ACTIVE: Inertial Sensing Systems for Advanced Chronic Condition Monitoring and Risk Prevention, SENSEI: Integrating the PhySical with the Digital World of the Network of the Future
Uncontrolled Keywords:activity monitoring, activity stimulation, inertial sensing, wireless sensor networks
ID Code:16044
Status:Published
Deposited On:05 November 2009
Refereed:Yes
International:Yes
More Information:statisticsmetis

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