Hand Gesture Recognition via MIMO Radar Sensors and Space-Frequency Domain Information
Tzu-Jung Tseng, Jian–Jiun Ding · 2023
With the development of radar systems, hand gesture recognition of radar sensors has become easier to operate, and the resolution has increased. Nowadays, radar gesture recognition frequency employs (multiple-input and multiple-output) MIMO radar as a sensor since it has a better spatial resolution. This article proposes a hand gesture recognition based on a MIMO radar sensor, which can differentiate five gestures: swipe left, swipe right, pat, push, and pull. After receiving the data from the radar sensor, we first apply a two-dimensional Fast-Fourier Transform (2D-FFT) for a time series of range-Doppler maps. Next, we detect the moving target range, velocity, and angle values through time. Finally, the classification and regression tree (CART) algorithm is applied to a collected dataset, with targets’ time-variant characteristics as the parameters. The overall recognition rate of 94% is obtained from the proposed system using a decision-tree-based classifier. The experiment results show that this gesture-recognition system is promising in classifying multiple gestures.