基于多普勒生物信号检测的时域手势识别

Chuan Zheng, T. Hu, S. Qiao, Yongzhi Sun, J. Huangfu, L. Ran
{"title":"基于多普勒生物信号检测的时域手势识别","authors":"Chuan Zheng, T. Hu, S. Qiao, Yongzhi Sun, J. Huangfu, L. Ran","doi":"10.1109/IMWS-BIO.2013.6756200","DOIUrl":null,"url":null,"abstract":"Utilizing Doppler effect to detect bio-signals of vital signs has been attracting more and more interests. In this paper, we propose a time-domain algorithm for the hand gesture recognition. We introduce an extended differentiate and cross-multiply algorithm to solve the null point and the codomain restriction issues in traditional Doppler radar sensors, and retrieve the Doppler bio-signals of a moving hand from the demodulated phase signals based on a configuration of 2 or 3 radar sensors for 2-D or 3-D HGRs. Simulations validate the effectiveness of the proposed approach. Our method is capable of retrieving arbitrary hand movements, making it possible to be used in a wide range of HGR applications.","PeriodicalId":6321,"journal":{"name":"2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO)","volume":"1 1","pages":"3-3"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Doppler bio-signal detection based time-domain hand gesture recognition\",\"authors\":\"Chuan Zheng, T. Hu, S. Qiao, Yongzhi Sun, J. Huangfu, L. Ran\",\"doi\":\"10.1109/IMWS-BIO.2013.6756200\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Utilizing Doppler effect to detect bio-signals of vital signs has been attracting more and more interests. In this paper, we propose a time-domain algorithm for the hand gesture recognition. We introduce an extended differentiate and cross-multiply algorithm to solve the null point and the codomain restriction issues in traditional Doppler radar sensors, and retrieve the Doppler bio-signals of a moving hand from the demodulated phase signals based on a configuration of 2 or 3 radar sensors for 2-D or 3-D HGRs. Simulations validate the effectiveness of the proposed approach. Our method is capable of retrieving arbitrary hand movements, making it possible to be used in a wide range of HGR applications.\",\"PeriodicalId\":6321,\"journal\":{\"name\":\"2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO)\",\"volume\":\"1 1\",\"pages\":\"3-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMWS-BIO.2013.6756200\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMWS-BIO.2013.6756200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

摘要

利用多普勒效应检测生命体征的生物信号已引起越来越多的关注。本文提出了一种用于手势识别的时域算法。我们引入了一种扩展的微分和交叉相乘算法来解决传统多普勒雷达传感器中的零点和上域限制问题,并基于2或3个雷达传感器配置的2- d或3- d hgr,从解调的相位信号中检索运动手的多普勒生物信号。仿真结果验证了该方法的有效性。我们的方法能够检索任意的手部运动,使其有可能在广泛的HGR应用中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Doppler bio-signal detection based time-domain hand gesture recognition
Utilizing Doppler effect to detect bio-signals of vital signs has been attracting more and more interests. In this paper, we propose a time-domain algorithm for the hand gesture recognition. We introduce an extended differentiate and cross-multiply algorithm to solve the null point and the codomain restriction issues in traditional Doppler radar sensors, and retrieve the Doppler bio-signals of a moving hand from the demodulated phase signals based on a configuration of 2 or 3 radar sensors for 2-D or 3-D HGRs. Simulations validate the effectiveness of the proposed approach. Our method is capable of retrieving arbitrary hand movements, making it possible to be used in a wide range of HGR applications.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信