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Wearable and Implantable Body Sensor Networks, International Workshop on (2006)
Cambridge, Massachusetts, U.S.A
Apr. 3, 2006 to Apr. 5, 2006
ISBN: 0-7695-2547-4
pp: 195-198
Guang-Zhong Yang , Imperial College London, United Kingdom
Danail Stoyanov , Imperial College London, United Kingdom
Benny P.L. Lo , Imperial College London, United Kingdom
Julien Pansiot , Imperial College London, United Kingdom
ABSTRACT
The practical deployment of pervasive health monitoring requires a close integration of body sensor networks (BSNs) with intelligent ambient sensing. To this end, vision sensors with low cost and minimal power consumption provide an attractive means of activity tracking and capturing early signs of disease progression through changes in gait and posture. The purpose of this paper is to present an imagebased modeling technique for generating a subject-specific simulation environment that allows systematic development of novel vision algorithms that can be implemented by low power video sensors with distributed processing and known ground-truth.
INDEX TERMS
home care monitoring, camera network, simulation, shape from silhouette
CITATION
Guang-Zhong Yang, Danail Stoyanov, Benny P.L. Lo, Julien Pansiot, "Towards Image-Based Modeling for Ambient Sensing", Wearable and Implantable Body Sensor Networks, International Workshop on, vol. 00, no. , pp. 195-198, 2006, doi:10.1109/BSN.2006.55
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