Abstract
In order for the hidden computer to interact with human beings, a variety of sensors are used to collect data of human behavior. Using video cameras is quite straightforward on this matter. However, it is still a difficult task to do human motion analysis through only video data. In this paper, we discuss the necessity and the way to combine information from video sensors and other types of sensors, especially, the RFID reader. Data acquisition of RFID and video data is discussed first. Combinatorial information fusion techniques for multiple sources of information are then introduced. On the other hand, rule based methods provide an alternative solution for combining the two sources of information. An example in monitoring real-life learning behavior is also given.
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Hsu, HH., Cheng, Z., Huang, T., Han, Q. (2006). Behavior Analysis with Combined RFID and Video Information. In: Ma, J., Jin, H., Yang, L.T., Tsai, J.JP. (eds) Ubiquitous Intelligence and Computing. UIC 2006. Lecture Notes in Computer Science, vol 4159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11833529_18
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DOI: https://doi.org/10.1007/11833529_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38091-7
Online ISBN: 978-3-540-38092-4
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