{"title":"MobiCom 2011海报:无线局域网无设备被动运动检测的强大技术","authors":"Ahmed E. Kosba, Ahmed Saeed, M. Youssef","doi":"10.1145/2169077.2169085","DOIUrl":null,"url":null,"abstract":"We present RASID: a system capable of detecting passive human motion using the already installed indoor wireless infrastructure. RASID applies a statistical anomaly detection technique to detect motion inside indoor environments by monitoring the changes in the wireless signal strength. The system also adapts to the environment changes and applies decision refinement procedures for enhancing the detection accuracy. Our results show that RASID can achieve an accurate detection capability, reaching 6% miss detection rate and 8% false alarm rate in a typical environment.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":"69 1","pages":"43-45"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"MobiCom 2011 poster: a robust technique for WLAN device-free passive motion detection\",\"authors\":\"Ahmed E. Kosba, Ahmed Saeed, M. Youssef\",\"doi\":\"10.1145/2169077.2169085\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present RASID: a system capable of detecting passive human motion using the already installed indoor wireless infrastructure. RASID applies a statistical anomaly detection technique to detect motion inside indoor environments by monitoring the changes in the wireless signal strength. The system also adapts to the environment changes and applies decision refinement procedures for enhancing the detection accuracy. Our results show that RASID can achieve an accurate detection capability, reaching 6% miss detection rate and 8% false alarm rate in a typical environment.\",\"PeriodicalId\":43578,\"journal\":{\"name\":\"Mobile Computing and Communications Review\",\"volume\":\"69 1\",\"pages\":\"43-45\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mobile Computing and Communications Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2169077.2169085\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mobile Computing and Communications Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2169077.2169085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MobiCom 2011 poster: a robust technique for WLAN device-free passive motion detection
We present RASID: a system capable of detecting passive human motion using the already installed indoor wireless infrastructure. RASID applies a statistical anomaly detection technique to detect motion inside indoor environments by monitoring the changes in the wireless signal strength. The system also adapts to the environment changes and applies decision refinement procedures for enhancing the detection accuracy. Our results show that RASID can achieve an accurate detection capability, reaching 6% miss detection rate and 8% false alarm rate in a typical environment.
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