Domain-independent gesture recognition using single-channel time modulated array

Guan, L., Yang, X., Zhao, N., Alomainy, A., Imran, M. A. and Abbasi, Q. H. (2024) Domain-independent gesture recognition using single-channel time modulated array. IEEE Transactions on Antennas and Propagation, (doi: 10.1109/TAP.2024.3373054) (Early Online Publication)

Abstract

In recent years, gesture recognition system based on radio frequency (RF) sensing has a wide application prospect and attraction in non-contact electronic interaction with its advantages of privacy security, lighting independence, and wide sensing range. The traditional RF sensing system depends on the environment and the subject, and the multi-channel sensing equipment is expensive, which brings great challenges to the practical application. To address the above issues, a single-channel, low-cost, and domain-independent gesture recognition system is proposed. Specifically, the time modulation technology is adopted to expand the number of antennas of the sensing device. The time modulation array (TMA) is converted into a traditional array through harmonic recovery technology. 2D-FFT, moving target indication filter, and data normalization are used to extract domain-independent Angle-Doppler Maps (ADMs) gesture features. In order to ensure recognition accuracy, we propose a lightweight neural network with attention mechanism, which only needs one training and can be applied to different data domains. The experimental results show that the accuracy of in-domain recognition of the proposed system is 98.9%, and the accuracy of cross-domain (i.e. new environments, new users, and new positions) recognition is 85.6%-97.4% without model retraining.

• Item Type: Articles
• Status: Early Online Publication
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad and Abbasi, Professor Qammer
• Authors: Guan, L., Yang, X., Zhao, N., Alomainy, A., Imran, M. A., and Abbasi, Q. H.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: IEEE Transactions on Antennas and Propagation
• Publisher: IEEE
• ISSN: 0018-926X
• ISSN (Online): 1558-2221
• Published Online: 13 March 2024
• Copyright Holders: Copyright © 2024, IEEE
• First Published: First published in IEEE Transactions on Antennas and Propagation 2024
• Publisher Policy: Reproduced in accordance with the publisher copyright policy