Anran Wang, Jacob E. Sunshine, Shyamnath Gollakota
{"title":"海报","authors":"Anran Wang, Jacob E. Sunshine, Shyamnath Gollakota","doi":"10.1145/3300061.3343401","DOIUrl":null,"url":null,"abstract":"In this poster accompanying the MobiCom 2019 paper, we describes how to enable infant monitoring capability using white noise. Specifically, we design a set of novel algorithms that can extract the minute infant breathing motion as well as position information from white noise which is random in both the time and frequency domain. Our study demonstrates that the system achieves high correlation between the measured respiratory rate and the ground truth.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Poster\",\"authors\":\"Anran Wang, Jacob E. Sunshine, Shyamnath Gollakota\",\"doi\":\"10.1145/3300061.3343401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this poster accompanying the MobiCom 2019 paper, we describes how to enable infant monitoring capability using white noise. Specifically, we design a set of novel algorithms that can extract the minute infant breathing motion as well as position information from white noise which is random in both the time and frequency domain. Our study demonstrates that the system achieves high correlation between the measured respiratory rate and the ground truth.\",\"PeriodicalId\":223523,\"journal\":{\"name\":\"The 25th Annual International Conference on Mobile Computing and Networking\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 25th Annual International Conference on Mobile Computing and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3300061.3343401\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 25th Annual International Conference on Mobile Computing and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3300061.3343401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this poster accompanying the MobiCom 2019 paper, we describes how to enable infant monitoring capability using white noise. Specifically, we design a set of novel algorithms that can extract the minute infant breathing motion as well as position information from white noise which is random in both the time and frequency domain. Our study demonstrates that the system achieves high correlation between the measured respiratory rate and the ground truth.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
