@inproceedings{b25da26a38504eab81f1f5a9fffbcc12,
title = "Gesture recognition with feature fusion using FMCW radar",
abstract = "We propose a feature fusion method for gesture recognition based on Frequency Modulated Continuous Wave (FMCW) radar. First, we estimate the radial information distance, Doppler and tangential information azimuth, elevation of the gesture by signal processing to construct the multi-dimensional feature data set; Then, for feature extraction and accurate classification, we design feature fusion scheme and build multi-dimensional feature convolutional neural network. Experimental results show that our proposed scheme with gesture multi-dimensional feature as input can solve the problem of insufficient feature representation in traditional Range-Doppler (RD) domain gesture recognition methods, and the recognition accuracy is improved by 4%∼8% compared with the case without feature fusion.",
keywords = "Feature fusion, Gesture recognition, Radial information, Tangential information",
author = "Tianyang Chen and Xichao Dong and Yaowen Chen",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 7th Asia Pacific Conference on Optics Manufacture, APCOM 2021 ; Conference date: 28-10-2021 Through 31-10-2021",
year = "2022",
doi = "10.1117/12.2611662",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jiubin Tan and Xiangang Luo and Ming Huang and Lingbao Kong and Dawei Zhang",
booktitle = "Seventh Asia Pacific Conference on Optics Manufacture, APCOM 2021",
address = "United States",
}