Configuration of Multisensor CW Radar for Hand Gesture Detection

Rivo Try Anjasmara, A. A. Pramudita, Y. Wahyu
{"title":"Configuration of Multisensor CW Radar for Hand Gesture Detection","authors":"Rivo Try Anjasmara, A. A. Pramudita, Y. Wahyu","doi":"10.1109/ICRAMET53537.2021.9650472","DOIUrl":null,"url":null,"abstract":"Radar has many implementations in everyday life in various fields such as the military, health and many more. Radar has also been developed so that it could be combined with other technologies. For example, the human to machine interface (HMI). HMI has the ability to translate cues from the user so that it could be understood by the machine. Based on their respective capabilities, radar and HMI then combined so that they could get new capabilities based on their respective functions. One type of radar that is known is the continuous wave (CW) radar. CW radar is generally used to detect objects based on the Doppler effect. Then CW radar combined with HMI. The results obtained by using a multi-sensor configuration, namely horizontal and vertical configurations could detect hand movements. The horizontal and vertical configurations could both detect with an accuracy rate of 87.5 % of the test in each configuration with a distance of 20 cm in terms of power and measurement accuracy. So, it could be concluded that using a multi-sensor configuration in the form of horizontal and vertical could detect hand gesture movements.","PeriodicalId":269759,"journal":{"name":"2021 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAMET53537.2021.9650472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Radar has many implementations in everyday life in various fields such as the military, health and many more. Radar has also been developed so that it could be combined with other technologies. For example, the human to machine interface (HMI). HMI has the ability to translate cues from the user so that it could be understood by the machine. Based on their respective capabilities, radar and HMI then combined so that they could get new capabilities based on their respective functions. One type of radar that is known is the continuous wave (CW) radar. CW radar is generally used to detect objects based on the Doppler effect. Then CW radar combined with HMI. The results obtained by using a multi-sensor configuration, namely horizontal and vertical configurations could detect hand movements. The horizontal and vertical configurations could both detect with an accuracy rate of 87.5 % of the test in each configuration with a distance of 20 cm in terms of power and measurement accuracy. So, it could be concluded that using a multi-sensor configuration in the form of horizontal and vertical could detect hand gesture movements.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于手势检测的多传感器连续波雷达配置
雷达在日常生活的各个领域都有很多实现,比如军事、健康等等。雷达也已经发展到可以与其他技术相结合。例如,人机界面(HMI)。人机界面有能力翻译来自用户的提示,使其能够被机器理解。在各自能力的基础上,将雷达和人机界面结合起来,使它们能够在各自功能的基础上获得新的能力。一种已知的雷达是连续波(CW)雷达。连续波雷达一般是利用多普勒效应来探测目标的。然后是连续波雷达与人机界面的结合。采用多传感器配置,即水平和垂直配置,可以检测手部运动。在功率和测量精度方面,水平配置和垂直配置在距离为20 cm的情况下,每种配置的检测准确率均为87.5%。因此,可以得出结论,使用水平和垂直形式的多传感器配置可以检测手势运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design and Fabrication Pasteurization of Fresh Milk-based on Pulsed Electric Field Technology Comparative Study of the LEACH and LEACH-PSO Protocols on Wireless Sensor Networks Moving Human Respiration Sign Detection Using mm-Wave Radar via Motion Path Reconstruction A Design Analysis of High Flow Rate Serial Connection Multi-Chamber Piezoelectric Micropump for Drug Delivery System RSS-Based improved DOA estimation using SVM
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1