雷达科学与技术2024，Vol.22Issue(5)：569-577,586,10.DOI:10.3969/j.issn.1672-2337.2024.05.012
基于毫米波雷达的三维特征自适应融合人体动作识别算法
Human Motion Recognition Algorithm with Three-Dimensional Feature Adaptive Fusion Based on Millimeter-Wave Radar
摘要
Abstract
At present,the human motion recognition methods using millimeter-wave radar exist the problems of low recognition accuracy caused by underutilization of human motion features and the increased number of model parame-ters due to the simple fusion method with multi-dimensional features.In view of the above problems,a three-dimensional feature adaptive fusion method for human motion recognition based on millimeter-wave radar is proposed.First,the time-frequency analysis of radar echo signals is carried out to obtain the features of human action distance,Doppler and angle,and the 3D feature dataset is constructed by accumulating them in the time domain.Second,a three-branch convo-lutional neural network with a feature adaptive fusion device is designed to realize the extraction of high-dimensional ab-stract features from 3D feature dataset and the effective fusion of multi-dimensional features.Finally,the human motion detection results are obtained by the activity classifier.The experimental results show that the average accuracy of hu-man action recognition of the proposed method can reach 96.41%,and the area under the curve(AUC)value can reach 0.984,which is better than the single-dimensional feature recognition method and a variety of three-dimensional feature fusion methods.关键词
毫米波雷达/动作识别/时频分析/特征融合/卷积神经网络Key words
millimeter-wave radar/human motion recognition/time-frequency analysis/feature fusion/convolu-tional neural network分类
信息技术与安全科学引用本文复制引用
李程辉,蒋俊正,周芳..基于毫米波雷达的三维特征自适应融合人体动作识别算法[J].雷达科学与技术,2024,22(5):569-577,586,10.基金项目
国家自然科学基金资助项目(No.62261014,62171146) （No.62261014,62171146）
广西创新驱动发展专项(No.桂科AA21077008) （No.桂科AA21077008）
广西自然科学杰出青年基金项目(No.2021GXNSFFA220004) （No.2021GXNSFFA220004）
广西科技基地和人才专项(No.桂科AD21220112) （No.桂科AD21220112）
广西研究生教育创新计划项目(No.YCBZ2023137) （No.YCBZ2023137）
