An WiFi-Based Human Activity Recognition System Under Multi-source Interference
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-0390-8_118
Reference21 articles.
1. Feng, C., et al.: Wi-multi: a three-phase system for multiple human activity recognition with commercial WiFi devices. IEEE Internet Things J. 6(4), 7293–7304 (2019)
2. Pu, Q., et al.: Whole-home gesture recognition using wireless signals. In: Proceedings of the 19th Annual International Conference on Mobile Computing & Networking (2013)
3. Islam, M.T., Nirjon, S.: Wi-fringe: leveraging text semantics in WiFi CSI-based device-free named gesture recognition. In: 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE (2020)
4. Zhang, J., et al.: Data augmentation and dense-LSTM for human activity recognition using WiFi signal. IEEE Internet Things J. 8, 4628–4641 (2020)
5. Ding, X., et al.: A new method of human gesture recognition using Wi-Fi signals based on XGBoost. In: 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE (2020)
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