WiFi CSI-Based Long-Range Through-Wall Human Activity Recognition with the ESP32
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44137-0_4
Reference19 articles.
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2. Lecture Notes in Computer Science;K Arning,2015
3. Atif, M., Muralidharan, S., Ko, H., Yoo, B.: Wi-ESP–a tool for CSI-based device-free Wi-Fi sensing (DFWS). J. Comput. Des. Eng. 7(5), 644–656 (2020). https://doi.org/10.1093/jcde/qwaa048
4. Gao, Q., Wang, J., Ma, X., Xueyan, F., Wang, H.: CSI-based device-free wireless localization and activity recognition using radio image features. IEEE Trans. Veh. Technol. 1 (2017). https://doi.org/10.1109/TVT.2017.2737553
5. Gringoli, F., Schulz, M., Link, J., Hollick, M.: Free your CSI: a channel state information extraction platform for modern Wi-Fi chipsets. In: Proceedings of the 13th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization, pp. 21–28. WiNTECH ’19, Association for Computing Machinery, New York, NY, USA (2019). https://doi.org/10.1145/3349623.3355477
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