Detecting Human Walking Direction Using Wi-Fi Signals
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2004-0_32
Reference19 articles.
1. Han Z, Lu Z, Wen X, Zhao J, Guo L, Liu Y (2020) In-air handwriting by passive gesture tracking using commodity WiFi. IEEE Commun Lett 24(11):2652–2656
2. Wu D, Zhang D, Xu C, Wang Y, Wang H (2016) WiDir: walking direction estimation using wireless signals. In: Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing, pp 351–362
3. Yang J, Zou H, Jiang H, Xie L (2018) Device-free occupant activity sensing using WiFi-enabled IoT devices for smart homes. IEEE Internet Things J 5(5):3991–4002
4. Qian K, Wu C, Yang Z, Liu Y, Jamieson K (2017) Widar: decimeter-level passive tracking via velocity monitoring with commodity Wi-Fi. In: Proceedings of the 18th ACM international symposium on mobile ad hoc networking and computing, pp 1–10
5. Huang H, Lin S (2018) Widet: Wi-Fi based device-free passive person detection with deep convolutional neural networks. In: Proceedings of the 21st ACM international conference on modeling, analysis and simulation of wireless and mobile systems, pp 53–60
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