Sept. 13, 2022, 1:12 a.m. | Kavinda Kehelella, Gayangana Leelarathne, Dhanuka Marasinghe, Nisal Kariyawasam, Viduneth Ariyarathna, Arjuna Madanayake, Ranga Rodrigo, Chamira U. S.

cs.LG updates on arXiv.org arxiv.org

Transformers combined with convolutional encoders have been recently used for
hand gesture recognition (HGR) using micro-Doppler signatures. We propose a
vision-transformer-based architecture for HGR with multi-antenna
continuous-wave Doppler radar receivers. The proposed architecture consists of
three modules: a convolutional encoderdecoder, an attention module with three
transformer layers, and a multi-layer perceptron. The novel convolutional
decoder helps to feed patches with larger sizes to the attention module for
improved feature extraction. Experimental results obtained with a dataset
corresponding to a two-antenna …

arxiv encoder encoder-decoder gesture recognition radar transformer vision

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