Towards robust gesture recognition by characterizing the sensing quality of WiFi signals
Published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2022
This paper presents a robust gesture recognition approach by characterizing the sensing quality of WiFi signals.
Recommended citation: R Gao, W Li, Y Xie, E Yi, L Wang, D Wu, D Zhang. (2022). “Towards robust gesture recognition by characterizing the sensing quality of WiFi signals.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
Citations: 105
Recommended citation: R Gao, W Li, Y Xie, E Yi, L Wang, D Wu, D Zhang. (2022). "Towards robust gesture recognition by characterizing the sensing quality of WiFi signals." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
