Jayanth Shenoy, Zikun Liu, Bill Tao, Zachary Kabelac, Deepak Vasisht
{"title":"RF-Protect","authors":"Jayanth Shenoy, Zikun Liu, Bill Tao, Zachary Kabelac, Deepak Vasisht","doi":"10.1145/3583571.3583579","DOIUrl":null,"url":null,"abstract":"In the last decade, both academia and industry have relied on FMCWradar based radio-frequency (RF) sensors to enable through-wall human tracking. These sensors capture reflections from human bodies to track occupancy of rooms [1], motion patterns of occupants [1,2], their daily activities [3], and their health metrics [4, 5]. Recently, Google has incorporated high frequency FMCW-based sensing into their smart home devices [6, 7], and Amazon received an FCC waiver [8] to conduct testing for the same.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"11 1","pages":"28 - 31"},"PeriodicalIF":0.7000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RF-Protect\",\"authors\":\"Jayanth Shenoy, Zikun Liu, Bill Tao, Zachary Kabelac, Deepak Vasisht\",\"doi\":\"10.1145/3583571.3583579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the last decade, both academia and industry have relied on FMCWradar based radio-frequency (RF) sensors to enable through-wall human tracking. These sensors capture reflections from human bodies to track occupancy of rooms [1], motion patterns of occupants [1,2], their daily activities [3], and their health metrics [4, 5]. Recently, Google has incorporated high frequency FMCW-based sensing into their smart home devices [6, 7], and Amazon received an FCC waiver [8] to conduct testing for the same.\",\"PeriodicalId\":29918,\"journal\":{\"name\":\"GetMobile-Mobile Computing & Communications Review\",\"volume\":\"11 1\",\"pages\":\"28 - 31\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GetMobile-Mobile Computing & Communications Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3583571.3583579\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GetMobile-Mobile Computing & Communications Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3583571.3583579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
In the last decade, both academia and industry have relied on FMCWradar based radio-frequency (RF) sensors to enable through-wall human tracking. These sensors capture reflections from human bodies to track occupancy of rooms [1], motion patterns of occupants [1,2], their daily activities [3], and their health metrics [4, 5]. Recently, Google has incorporated high frequency FMCW-based sensing into their smart home devices [6, 7], and Amazon received an FCC waiver [8] to conduct testing for the same.
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