Title :
Towards image-based modeling for ambient sensing
Author :
Pansiot, Julien ; Stoyanov, Danail ; Lo, Benny P L ; Yang, Guang-Zhong
Author_Institution :
R. Soc.-Wolfson Med. Image Comput. Lab., Imperial Coll., London
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 image-based 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
Keywords :
health care; image sensors; medical image processing; patient monitoring; video signal processing; wireless sensor networks; body sensor networks; camera network; disease progression; distributed processing; health monitoring; home care monitoring; image-based modeling technique; intelligent ambient sensing; low power video sensors; subject-specific simulation environment; vision algorithms; vision sensors; Ambient intelligence; Body sensor networks; Costs; Diseases; Distributed power generation; Energy consumption; Intelligent networks; Intelligent sensors; Monitoring; Power system modeling; camera network; home care monitoring; shape from silhouette; simulation;
Conference_Titel :
Wearable and Implantable Body Sensor Networks, 2006. BSN 2006. International Workshop on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7695-2547-4
DOI :
10.1109/BSN.2006.55
