Disturbance-Avoidant Wireless Gesture Recognition with 5G-NR Cellular Signal
Rui Peng, Yafei Tian, Shengqian Han · 2024
Integrated sensing and communication holds immense potential in the sixth generation (6 G) mobile communication system. Hand gesture recognition, in particular, represents a critical application. While research on single-user gesture recognition has been extensive, the impact of unpredictable moving interferers remains unexplored, leading to significant inter-user interference. This paper proposes a disturbance-avoidant wireless gesture recognition scheme based on the fifth generation (5G) New Radio (NR) cellular signal. By capturing the user’s location as a channel feature in the spatial-delay domain, we can not only detect gestures but also minimize interference through spatial-delay domain processings. To validate the effectiveness of this approach, a prototype system is developed, and gesture recognition tests using NR signals have been conducted. The results demonstrate that the proposed scheme can effectively mitigate interference and achieve remarkable recognition accuracies, even under highly disruptive conditions.