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Bangkok Thailand
Jan. 28, 2013 to Jan. 30, 2013
ISBN: 978-1-4673-5740-1
pp: 42-47
Y. Kasama , Grad. Sch. of Comput. Sci. & Eng., Univ. of Aizu Aizu-Wakamatsu, Aizu-wakamatsu, Japan
T. Miyazaki , Grad. Sch. of Comput. Sci. & Eng., Univ. of Aizu Aizu-Wakamatsu, Aizu-wakamatsu, Japan
ABSTRACT
To create a context-aware environment for humans in a room, their locations and movement paths must be considered. In this paper, we propose an algorithm that estimates human movement paths only using the binary sensed data obtained by infrared (IR) sensors attached to the ceiling. Our algorithm can estimate multiple human movement paths without knowing the number of humans in the room beforehand. By repeating estimations of human positions and links from the previous human positions to the estimated ones at each time period, human movement paths can be estimated. Simulation-based evaluation results show that our algorithm can dynamically trace human movement paths within 0.6 m error on average.
INDEX TERMS
Vectors, Estimation, Clustering algorithms, Biomedical monitoring, Tracking, Radiofrequency identification,Privacy, Infrared Sensor, Multiple Human Tracking
CITATION
Y. Kasama, T. Miyazaki, "Movement path estimation for multiple humans in a room using binary infrared sensors", ICOIN, 2013, The International Conference on Information Networking 2014 (ICOIN2014), The International Conference on Information Networking 2014 (ICOIN2014) 2013, pp. 42-47, doi:10.1109/ICOIN.2013.6496349
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