Paper
20 October 2023 Radar feature analysis of human activity classification
Tao Zhang, Xingshuai Qiao, Xiuping Li
Author Affiliations +
Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 129162T (2023) https://doi.org/10.1117/12.3004913
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China
Abstract
In this paper, the radar parameters of human body junction including different behavioral physical characteristics are analyzed. The radar parameters of different activities (walking, squatting, sitting and falling) of the target under multiple observation angles are simulated. The radar characteristics of human motion such as Doppler frequency, radial distance, height and pitch angle are analyzed in depth. Finally, the most suitable view angle in the classification of each activity and the radar parameters with the most stable characteristics are further given. The feature extraction method presented in this paper has an explicit physical interpretation and good angular adaptability. Neural networks combined with the proposed feature extraction method can have better interpretation of the activity classification results.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Tao Zhang, Xingshuai Qiao, and Xiuping Li "Radar feature analysis of human activity classification", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 129162T (20 October 2023); https://doi.org/10.1117/12.3004913
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KEYWORDS
Radar

Head

Neural networks

Data acquisition

Feature extraction

Image classification

Liquid crystals

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