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arXiv · 1908.10560

Efficient Convolutional Neural Network for FMCW Radar Based Hand Gesture Recognition

Xiaodong Cai·Jingyi Ma·Wei Liu·Hemin Han·Lili Ma
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Abstract

FMCW radar could detect object's range, speed and Angleof-Arrival, advantages are robust to bad weather, good range resolution, and good speed resolution. In this paper, we consider the FMCW radar as a novel interacting interface on laptop. We merge sequences of object's range, speed, azimuth information into single input, then feed to a convolution neural network to learn spatial and temporal patterns. Our model achieved 96% accuracy on test set and real-time test.

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Xiaodong Cai, Jingyi Ma, Wei Liu, Hemin Han, Lili Ma. 2019-08-28. Efficient Convolutional Neural Network for FMCW Radar Based Hand Gesture Recognition. https://doi.org/10.1145/3341162.3343768

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