{"title":"Measurement Methodology","authors":"Ankita Dey, S. Rajan, G. Xiao, Jianping Lu","doi":"10.1109/MIM.2023.10238364","DOIUrl":null,"url":null,"abstract":"With an increase in the population of older adults in developed nations globally, research on radar-based human activity recognition for reliable and accurate fall event detection has accelerated exponentially. Radars are safe, contactless, and privacy-preserving sensors that facilitate ‘aging in place.’ A plethora of research papers have been published in this field in the last five years. The primary goal of all research works is to recognize the human activities from the backscattered radar returns. Despite being a well-researched field, technology-transfer from lab to market is implausible due to several underlying issues that are yet to be addressed. These issues will serve as potential barriers when implementing the developed technologies in real-life. This article aims to reveal some of these issues that are important for successful technology-transfer of radar-based human activity recognition systems, and potential solutions to mitigate these issues are proposed.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"26 1","pages":"12-19"},"PeriodicalIF":1.6000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Instrumentation & Measurement Magazine","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1109/MIM.2023.10238364","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
With an increase in the population of older adults in developed nations globally, research on radar-based human activity recognition for reliable and accurate fall event detection has accelerated exponentially. Radars are safe, contactless, and privacy-preserving sensors that facilitate ‘aging in place.’ A plethora of research papers have been published in this field in the last five years. The primary goal of all research works is to recognize the human activities from the backscattered radar returns. Despite being a well-researched field, technology-transfer from lab to market is implausible due to several underlying issues that are yet to be addressed. These issues will serve as potential barriers when implementing the developed technologies in real-life. This article aims to reveal some of these issues that are important for successful technology-transfer of radar-based human activity recognition systems, and potential solutions to mitigate these issues are proposed.
期刊介绍：
IEEE Instrumentation & Measurement Magazine is a bimonthly publication. It publishes in February, April, June, August, October, and December of each year. The magazine covers a wide variety of topics in instrumentation, measurement, and systems that measure or instrument equipment or other systems. The magazine has the goal of providing readable introductions and overviews of technology in instrumentation and measurement to a wide engineering audience. It does this through articles, tutorials, columns, and departments. Its goal is to cross disciplines to encourage further research and development in instrumentation and measurement.
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