中国医疗设备2024，Vol.39Issue(7)：1-7,13,8.DOI:10.3969/j.issn.1674-1633.2024.07.001
基于机器学习的生物雷达非接触识别头部特定动作方法研究
Research on Non-Contact Recognition of Specific Head Movements by Bioradar Based on Machine Learning
摘要
Abstract
Objective To propose a new method of classification of specific head movement based on non-contact bioradar sensor.Methods Firstly,radar signals were collected for specific head movements——static,nodding,left turn,right turn,leaning back,opening mouth,nodding left and nodding right.Secondly,two kinds of image data were obtained by time domain processing and time frequency analysis and the principal component analysis(PCA)was used to construct new integrated features that were more effective.Thirdly,the support vector machine(SVM)model was used to classify the new features.Results Based on PCA and SVM,a human motion feature extraction method was constructed to recognize human head movements.The results showed that the classification recognition accuracy of different types of head movements could reach 88.64% .Conclusion The non-contact recognition of head movements proposed in this paper is of great significance for enhancing social communication,delaying the development of disease and improving the quality of life of Alzheimer's patients.关键词
机器学习/非接触检测/生物雷达/主成分分析法/头部动作Key words
machine learning/non-contact detection/bioradar/principal component analysis/head movements分类
信息技术与安全科学引用本文复制引用
徐存卓,张力方,焦腾,吕昊,张杨,王健琪,于霄..基于机器学习的生物雷达非接触识别头部特定动作方法研究[J].中国医疗设备,2024,39(7):1-7,13,8.基金项目
国家重点研发计划(2021YFC1200104) （2021YFC1200104）
陕西省重点研发计划项目(2024SF-YBXM-454) （2024SF-YBXM-454）
空军军医大学珠峰工程(2020ZFB009). （2020ZFB009）
