{"title":"SFCW microwave radar for in-door fall detection","authors":"M. Mercuri, D. Schreurs, P. Leroux","doi":"10.1109/BIOWIRELESS.2012.6172729","DOIUrl":null,"url":null,"abstract":"The use of a Stepped-Frequency Continuous Wave (SFCW) radar is proposed for non-invasive fall and vital signs detection. A fall in principle involves changes both in position and in speed. Measurements have been performed with the radar fixed both on the wall and on the ceiling. In both situations, position and speed of a target have been measured with good accuracy. By combining this information a fall can be properly detected, distinguishing the fall from both walking and sitting movements. The results show the feasibility of this approach. Moreover, the results demonstrate that vital signs can be monitored also.","PeriodicalId":297010,"journal":{"name":"2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"60","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOWIRELESS.2012.6172729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 60
Abstract
The use of a Stepped-Frequency Continuous Wave (SFCW) radar is proposed for non-invasive fall and vital signs detection. A fall in principle involves changes both in position and in speed. Measurements have been performed with the radar fixed both on the wall and on the ceiling. In both situations, position and speed of a target have been measured with good accuracy. By combining this information a fall can be properly detected, distinguishing the fall from both walking and sitting movements. The results show the feasibility of this approach. Moreover, the results demonstrate that vital signs can be monitored also.