HyeokHyen Kwon, C. Tong, H. Haresamudram, Yan Gao, G. Abowd, Nicholas D. Lane, T. Ploetz
{"title":"你能看到吗?","authors":"HyeokHyen Kwon, C. Tong, H. Haresamudram, Yan Gao, G. Abowd, Nicholas D. Lane, T. Ploetz","doi":"10.1145/3486880.3486891","DOIUrl":null,"url":null,"abstract":"Today's smartphones and wearable devices come equipped with an array of inertial sensors, along with IMU-based Human Activity Recognition models to monitor everyday activities. However, such models rely on large amounts of annotated training data, which require considerable time and effort for collection. One has to recruit human subjects, define clear protocols for the subjects to follow, and manually annotate the collected data, along with the administrative work that goes into organizing such a recording.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"41 1","pages":"38 - 42"},"PeriodicalIF":0.7000,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Can You See It?\",\"authors\":\"HyeokHyen Kwon, C. Tong, H. Haresamudram, Yan Gao, G. Abowd, Nicholas D. Lane, T. Ploetz\",\"doi\":\"10.1145/3486880.3486891\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today's smartphones and wearable devices come equipped with an array of inertial sensors, along with IMU-based Human Activity Recognition models to monitor everyday activities. However, such models rely on large amounts of annotated training data, which require considerable time and effort for collection. One has to recruit human subjects, define clear protocols for the subjects to follow, and manually annotate the collected data, along with the administrative work that goes into organizing such a recording.\",\"PeriodicalId\":29918,\"journal\":{\"name\":\"GetMobile-Mobile Computing & Communications Review\",\"volume\":\"41 1\",\"pages\":\"38 - 42\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-09-15\",\"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/10.1145/3486880.3486891\",\"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/10.1145/3486880.3486891","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Today's smartphones and wearable devices come equipped with an array of inertial sensors, along with IMU-based Human Activity Recognition models to monitor everyday activities. However, such models rely on large amounts of annotated training data, which require considerable time and effort for collection. One has to recruit human subjects, define clear protocols for the subjects to follow, and manually annotate the collected data, along with the administrative work that goes into organizing such a recording.
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