Abstract
Existing work on RF-based movement recognition focus on analyzing the received signal strength (RSS) in the physical layer. Most of the approaches require the Line-of-Sight signal which limits the application in the Non-Line-of-Sight (NLOS) environment. More importantly, how to distinguish the velocity of human is still an open problem. In this paper, we present an approach for device-free velocity recognition leveraging the radio-frequency (RF) signal in the NLOS environment which is a great challenge for activity recognition. We extract features from the information of received packets to classify different velocities. The classification of human speed can achieve high accuracy in the experiment.
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Dai, M., Huang, X. (2015). Radio Signal Based Device-Free Velocity Recognition. In: Xu, K., Zhu, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2015. Lecture Notes in Computer Science(), vol 9204. Springer, Cham. https://doi.org/10.1007/978-3-319-21837-3_8
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DOI: https://doi.org/10.1007/978-3-319-21837-3_8
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