{"title":"使用运动传感器识别人类活动","authors":"S. Jeong, T. Kim, Mehmet Rasit Eskicioglu","doi":"10.1145/3274783.3275198","DOIUrl":null,"url":null,"abstract":"Body-worn inertial sensors has become a convenient tool for sensing and recognizing human activities. The work presented in this poster uses Nordic Semiconductor's Thingy:52 IoT Sensor kit as the data collection device. We built a body area network with four Thingy:52 devices that collect data of the wearer. In this work, we focused only on periodic and continuous activities and experimented with walking and running.","PeriodicalId":156307,"journal":{"name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Human Activity Recognition Using Motion Sensors\",\"authors\":\"S. Jeong, T. Kim, Mehmet Rasit Eskicioglu\",\"doi\":\"10.1145/3274783.3275198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Body-worn inertial sensors has become a convenient tool for sensing and recognizing human activities. The work presented in this poster uses Nordic Semiconductor's Thingy:52 IoT Sensor kit as the data collection device. We built a body area network with four Thingy:52 devices that collect data of the wearer. In this work, we focused only on periodic and continuous activities and experimented with walking and running.\",\"PeriodicalId\":156307,\"journal\":{\"name\":\"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3274783.3275198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3274783.3275198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Body-worn inertial sensors has become a convenient tool for sensing and recognizing human activities. The work presented in this poster uses Nordic Semiconductor's Thingy:52 IoT Sensor kit as the data collection device. We built a body area network with four Thingy:52 devices that collect data of the wearer. In this work, we focused only on periodic and continuous activities and experimented with walking and running.
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