{"title":"使用穿戴式惯性传感器连续识别手臂活动","authors":"H. Junker, P. Lukowicz, G. Tröster","doi":"10.1109/ISWC.2004.12","DOIUrl":null,"url":null,"abstract":"This paper presents a new method for recognizing nonperiodic, sporadic arm-related activities in a continuous signal stream from body-worn inertial sensors. The method utilizes a segmentation scheme based on a natural, dynamic signal partitioning.","PeriodicalId":407425,"journal":{"name":"Eighth International Symposium on Wearable Computers","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":"{\"title\":\"Continuous recognition of arm activities with body-worn inertial sensors\",\"authors\":\"H. Junker, P. Lukowicz, G. Tröster\",\"doi\":\"10.1109/ISWC.2004.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new method for recognizing nonperiodic, sporadic arm-related activities in a continuous signal stream from body-worn inertial sensors. The method utilizes a segmentation scheme based on a natural, dynamic signal partitioning.\",\"PeriodicalId\":407425,\"journal\":{\"name\":\"Eighth International Symposium on Wearable Computers\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"36\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eighth International Symposium on Wearable Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWC.2004.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eighth International Symposium on Wearable Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWC.2004.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Continuous recognition of arm activities with body-worn inertial sensors
This paper presents a new method for recognizing nonperiodic, sporadic arm-related activities in a continuous signal stream from body-worn inertial sensors. The method utilizes a segmentation scheme based on a natural, dynamic signal partitioning.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
