Human motions recognition based on micro-Doppler map and improved ConvNeXt network

Chenzhen Zhao; Shuning Zhang; Lingzhi Zhu; Weihao Hu; Chenyu Sun

doi:10.1117/12.3041502

11 September 2024 Human motions recognition based on micro-Doppler map and improved ConvNeXt network

Chenzhen Zhao, Shuning Zhang, Lingzhi Zhu, Weihao Hu, Chenyu Sun

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132530T (2024) https://doi.org/10.1117/12.3041502
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

Aiming at the problems that the traditional recognition of human motions using optical devices such as video cameras is susceptible to light variations, occlusion and privacy leakage, a human motions recognition scheme based on Range-Doppler Map is proposed. Firstly, the echo data of human motions are collected using 77 GHz FMCW millimetre wave radar, and the Micro-Doppler Maps are built frame by frame by projecting the Range-Doppler Map(RDM) to the velocity dimension and constituting the human motion recognition dataset; Secondly, an improved ConvNeXt network is proposed for the recognition and classification of different human motions, with the introduction of a channel attention mechanism in the underlying network, which enhances the mining ability of ConvNeXt network for potential key features. The experimental results show that the human motions recognition scheme based on Micro-Doppler Maps and the ConvNeXt network incorporating the attention mechanism has a recognition accuracy of up to 97% for seven human motions, namely, boxing, squatting, running, stepping in place, walking, waving, and swinging the arm in place.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chenzhen Zhao, Shuning Zhang, Lingzhi Zhu, Weihao Hu, and Chenyu Sun "Human motions recognition based on micro-Doppler map and improved ConvNeXt network", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132530T (11 September 2024); https://doi.org/10.1117/12.3041502

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KEYWORDS

Action recognition

Doppler effect

Radar

Matrices

Radar sensor technology

Radar signal processing

Education and training

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