Abstract
Recognizing the movement and activities of an individual in an indoor space is a key functionality of smart homes, as a prerequisite to providing services in support of the occupant. Focusing on the particular case of smart homes with multiple occupants, we developed a location-and-movement recognition method using many inexpensive passive infrared (PIR) motion sensors and, a small number of, more costly RFID readers. In our method, PIR sensors, placed throughout the space, recognize movement while RFID readers, placed in key locations, recognize tags worn by individuals as they pass through their coverage area. The RFID readings are used to disambiguate the trajectories constructed based on PIR sensor readings. We evaluate through simulations the effectiveness of our method under different occupancy conditions.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
House, S., Connell, S., Milligan, I., Austin, D., Hayes, T.L., Chiang, P.: Indoor localization using pedestrian dead reckoning updated with rfid-based fiducials. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, pp. 7598–7601. IEEE (2011)
Milan, A., Schindler, K., Roth, S.: Detection-and trajectory-level exclusion in multiple object tracking. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3682–3689. IEEE (2013)
Ruiz, A.R.J., Granja, F.S., Prieto Honorato, J.C., Rosas, J.I.G.: Accurate pedestrian indoor navigation by tightly coupling foot-mounted imu and rfid measurements. IEEE Transactions on Instrumentation and Measurement 61(1), 178–189 (2012)
Vlasenko, I., Nikolaidis, I., Stroulia, E.: The smart-condo: Optimizing sensor placement for indoor localization. IEEE Transactions on Systems, Man, and Cybernetics: Systems 45(3), 436–453 (2015)
Wang, B.: Coverage problems in sensor networks: A survey. ACM Computing Surveys (CSUR) 43(4), 32 (2011)
Yu, C.R., Wu, C.L., Lu, C.H., Fu, L.C.: Human localization via multi-cameras and floor sensors in smart home. In: IEEE International Conference on Systems, Man and Cybernetics, 2006. SMC 2006, vol. 5, pp. 3822–3827. IEEE (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Azghandi, M.V., Nikolaidis, I., Stroulia, E. (2015). Multi–Occupant Movement Tracking in Smart Home Environments. In: Geissbühler, A., Demongeot, J., Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Inclusive Smart Cities and e-Health. ICOST 2015. Lecture Notes in Computer Science(), vol 9102. Springer, Cham. https://doi.org/10.1007/978-3-319-19312-0_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-19312-0_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19311-3
Online ISBN: 978-3-319-19312-0
eBook Packages: Computer ScienceComputer Science (R0)