Radar-Based Swimming Activity Recognition with Temporal Dynamic Convolution and Spectral Data Augmentation
Yi Zhou,
Xuliang Yu,
Miguel Lopez-Benitez
et al.
Abstract:Radar-based human activity recognition (HAR) is a popular area of
research. In this paper, we investigate methods to improve the
generalization of micro-Doppler-based swimming activity recognition. We
identify three main challenges to this task: a small dataset lacking
motion diversity, inaccurate period estimation, and inefficient network
design that does not take into account the unique characteristics of
spectrograms. To address the limited motion diversity, we propose a
spectral data augmentation tailored … Show more
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