{"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}
引用次数: 36
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.