Masashi Sekiya, Shota Itoh, Kunihiro Ogata, T. Tsuji
{"title":"Estimation of lower-extremity muscle forces by using task-space information","authors":"Masashi Sekiya, Shota Itoh, Kunihiro Ogata, T. Tsuji","doi":"10.1109/AMC.2016.7496380","DOIUrl":null,"url":null,"abstract":"This paper proposes a new method of muscle force estimation based on the relationship between the muscle space and the task space using a general lower extremity model in the sagittal plane. In addition, we report a verification experiment using several active motion patterns with a training robot for the lower extremities. The results show that the muscle forces estimated by the proposed method exhibit good correlation with surface electromyograms. Moreover, it is confirmed that the proposed method can capture some muscle activities undetectable by conventional methods.","PeriodicalId":273847,"journal":{"name":"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMC.2016.7496380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a new method of muscle force estimation based on the relationship between the muscle space and the task space using a general lower extremity model in the sagittal plane. In addition, we report a verification experiment using several active motion patterns with a training robot for the lower extremities. The results show that the muscle forces estimated by the proposed method exhibit good correlation with surface electromyograms. Moreover, it is confirmed that the proposed method can capture some muscle activities undetectable by conventional methods.