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Cross-domain extendable gesture recognition system using WiFi signals
  • Yuxi Qin,
  • Su Pan,
  • Zibo Li
Yuxi Qin
Nanjing University of Posts and Telecommunications
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Su Pan
Nanjing University of Posts and Telecommunications

Corresponding Author:supan@njupt.edu.cn

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Zibo Li
Nanjing Tech University
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Abstract

This letter proposes a cross-domain WiFi-based gesture recognition system (WiCross) based on a dynamically weighted multi-label generative adversarial network. Most existing WiFi-based gesture recognition systems are user, orientation, and environment sensitive, which limits the application of WiFi sensing. Compared with the influence of users and environments on WiFi sensing systems, the influence of orientation on WiFi sensing systems is more difficult to remove. To alleviate the confusion caused by the orientation more effectively, we arrange the transmitting and receiving antennas according to the characteristics of the Fresnel region. We propose to dynamically weight different links according to users’ orientations and use a multi-label generative adversarial network to obtain domain-independent features. More importantly, WiCross can use domain-independent features to classify some unknown gestures without modifying any code or data set. Lightweight computing resource consumption allows WiCross to respond in real-time. The experimental results show that WiCross can achieve an in-domain recognition accuracy of 93.54% and a cross-domain recognition accuracy of 93.11%
11 Apr 2023Submitted to Electronics Letters
11 Apr 2023Submission Checks Completed
11 Apr 2023Assigned to Editor
18 Apr 2023Reviewer(s) Assigned
10 Aug 2023Review(s) Completed, Editorial Evaluation Pending
11 Aug 2023Editorial Decision: Revise Major
15 Aug 20231st Revision Received
18 Aug 2023Submission Checks Completed
18 Aug 2023Assigned to Editor
18 Aug 2023Review(s) Completed, Editorial Evaluation Pending
19 Aug 2023Editorial Decision: Accept