基于Wi-Fi的被动前向散射雷达人体运动分类的比较研究

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

TEM Journal-Technology Education Management Informatics Pub Date : 2023-08-28 DOI:10.18421/tem123-13

Muhammad Nazrin Farhan Nasarudin, Hidayatusherlina Razali, N. Ismail, Nor Ayu Zalina Zakaria, A. Alnaeb, Megat Syahirul Amin Megat Ali, N. E. Abdul Rashid

{"title":"基于Wi-Fi的被动前向散射雷达人体运动分类的比较研究","authors":"Muhammad Nazrin Farhan Nasarudin, Hidayatusherlina Razali, N. Ismail, Nor Ayu Zalina Zakaria, A. Alnaeb, Megat Syahirul Amin Megat Ali, N. E. Abdul Rashid","doi":"10.18421/tem123-13","DOIUrl":null,"url":null,"abstract":"Forward scattering radar has been widely used to classify human movements. To reduce concern of prolonged radiation exposure, Wi-Fi based passive scattering radar with bistatic topology is proposed. The movements include walking, bending, sitting, and kneeling. The enveloping algorithm applied to Wi-Fi based passive forward scattering radar signals has produced a comparable pattern to the ones from the active configuration. The features extracted from the frequency spectrum are also similar for both radar topologies. These led to comparable performance when classifying using artificial neural network. Hence, Wi-Fi can effectively reduce the cost of radar sensors.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comparative Study on Human Movement\\nClassification Using Wi-Fi Based Passive\\nForward Scattering Radar\",\"authors\":\"Muhammad Nazrin Farhan Nasarudin, Hidayatusherlina Razali, N. Ismail, Nor Ayu Zalina Zakaria, A. Alnaeb, Megat Syahirul Amin Megat Ali, N. E. Abdul Rashid\",\"doi\":\"10.18421/tem123-13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Forward scattering radar has been widely used to classify human movements. To reduce concern of prolonged radiation exposure, Wi-Fi based passive scattering radar with bistatic topology is proposed. The movements include walking, bending, sitting, and kneeling. The enveloping algorithm applied to Wi-Fi based passive forward scattering radar signals has produced a comparable pattern to the ones from the active configuration. The features extracted from the frequency spectrum are also similar for both radar topologies. These led to comparable performance when classifying using artificial neural network. Hence, Wi-Fi can effectively reduce the cost of radar sensors.\",\"PeriodicalId\":45439,\"journal\":{\"name\":\"TEM Journal-Technology Education Management Informatics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TEM Journal-Technology Education Management Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18421/tem123-13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TEM Journal-Technology Education Management Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18421/tem123-13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

摘要

前向散射雷达被广泛用于人体运动分类。为了减少对长时间辐射暴露的担忧，提出了基于Wi-Fi的双基地拓扑被动散射雷达。这些动作包括走路、弯腰、坐着和跪着。将包络算法应用于基于Wi-Fi的被动前向散射雷达信号，产生了与主动配置的信号相似的模式。从频谱中提取的特征对于两种雷达拓扑也是相似的。这些导致使用人工神经网络进行分类时的性能相当。因此，Wi-Fi可以有效降低雷达传感器的成本。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Comparative Study on Human Movement Classification Using Wi-Fi Based Passive Forward Scattering Radar

Forward scattering radar has been widely used to classify human movements. To reduce concern of prolonged radiation exposure, Wi-Fi based passive scattering radar with bistatic topology is proposed. The movements include walking, bending, sitting, and kneeling. The enveloping algorithm applied to Wi-Fi based passive forward scattering radar signals has produced a comparable pattern to the ones from the active configuration. The features extracted from the frequency spectrum are also similar for both radar topologies. These led to comparable performance when classifying using artificial neural network. Hence, Wi-Fi can effectively reduce the cost of radar sensors.

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

TEM Journal-Technology Education Management Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.20

自引率

14.30%

发文量

176

审稿时长

8 weeks

期刊介绍： TEM JOURNAL - Technology, Education, Management, Informatics Is a an Open Access, Double-blind peer reviewed journal that publishes articles of interdisciplinary sciences: • Technology, • Computer and informatics sciences, • Education, • Management