https://scholars.lib.ntu.edu.tw/handle/123456789/636179
標題: | Hand Gesture Recognition via MIMO Radar Sensors and Space-Frequency Domain Information | 作者: | Tseng, Tzu Jung JIAN-JIUN DING |
關鍵字: | classification and regression tree algorithm | feature extraction | hand gesture recognition | MIMO radar system | space-frequency information | 公開日期: | 1-一月-2023 | 來源出版物: | Proceedings - 2023 6th International Symposium on Computer, Consumer and Control, IS3C 2023 | 摘要: | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/636179 | ISBN: | 9798350301953 | DOI: | 10.1109/IS3C57901.2023.00058 |
顯示於: | 電機工程學系 |
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