Demo: Practical WiFi Sensing for Human and Non-human Motion Identification on the Edge
Author:
Affiliation:
1. Origin Research, Rockville, Maryland, United States
2. Origin Research, Rockville, USA
3. The University of Hong Kong, Hong Kong, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3643832.3661841
Reference4 articles.
1. WiSpeed: A Statistical Electromagnetic Approach for Device-Free Indoor Speed Estimation
2. Feng Zhang, Chenshu Wu, Beibei Wang, Hung-Quoc Lai, Yi Han, and K. J. Ray Liu. 2019. WiDetect: Robust Motion Detection with a Statistical Electromagnetic Model. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 3, Article 122 (2019), 24 pages.
3. WI-MOID: Human and Non-Human Motion Discrimination Using WiFi With Edge Computing
4. Guozhen Zhu, Chenshu Wu, Xiaolu Zeng, Beibei Wang, and K. J. Ray Liu. 2022. Who Moved My Cheese? Human and Non-human Motion Recognition with WiFi. In 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS). 476--484.
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