Abstract
In this paper, we present SVM and HMM-based methods for monitoring interactions with passive RFID tagged objects. We continuously track the motion status of an object and declare the status as standing still, randomly moving or linearly moving. Inspired by phone transition modeling in speech processing, each interaction type is represented with two sub-states to handle transitions and continuity. Experiments were designed to simulate our target application: monitoring interactions with medical equipment during trauma resuscitation. Our system identified interaction status with 85% accuracy using an HMM. The most useful feature for discrimination was the difference between the average RSSI of two consecutive windows.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Parlak, S., Marsic, I. (2012). Monitoring Interactions with RFID Tagged Objects Using RSSI. In: Sénac, P., Ott, M., Seneviratne, A. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29154-8_44
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DOI: https://doi.org/10.1007/978-3-642-29154-8_44
Publisher Name: Springer, Berlin, Heidelberg
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