Continuous Chinese sign language recognition and classification based on millimeter wave radar

Xiliang Bo; Gao Chen; Chanzi Liu; Qingfeng Zhou; Bin Deng

doi:10.1117/12.3045700

13 December 2024 Continuous Chinese sign language recognition and classification based on millimeter wave radar

Xiliang Bo, Gao Chen, Chanzi Liu, Qingfeng Zhou, Bin Deng

Proceedings Volume 13492, AOPC 2024: Laser Technology and Applications; 1349203 (2024) https://doi.org/10.1117/12.3045700
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China

Abstract

Continuous sign language recognition has received widespread attention in the field of human-computer interaction. Compared with optical camera based continuous sign language recognition systems, millimeter wave radar based sign language recognition systems have unique advantages such as high integration, all-weather operation, and robustness in low light environments. This study constructed a continuous Chinese sign language recognition method using 60GHz Doppler radar, which utilizes a convolutional neural network incorporating Efficient Channel Attention (ECA) to process radar micro Doppler signals. A sign language radar data acquisition device was established on the Doppler radar, and 20 commonly used sign language statements for train stations were collected in the time-frequency domain to form a dataset. Subsequently, these data were input into the proposed neural network model for recognition and classification. The experiment shows that the proposed system achieves an accuracy of 97.92% in recognizing sign language at train stations. Compared with other radar based sign language recognition systems, the proposed system exhibits higher recognition accuracy.

Citation Download Citation

Xiliang Bo, Gao Chen, Chanzi Liu, Qingfeng Zhou, and Bin Deng "Continuous Chinese sign language recognition and classification based on millimeter wave radar", Proc. SPIE 13492, AOPC 2024: Laser Technology and Applications, 1349203 (13 December 2024); https://doi.org/10.1117/12.3045700

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KEYWORDS

Radar

Education and training

Time-frequency analysis

Extremely high frequency

Doppler effect

Millimeter wave sensors

Data modeling

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