{"title":"六种主要手握的肌电模式的模糊c均值聚类分析","authors":"A. Ajiboye, R. Weir","doi":"10.1109/ICORR.2005.1501049","DOIUrl":null,"url":null,"abstract":"We seek to quantify the electromyographic similarities and differences between six major grasping patterns of the human hand: cylindrical, hook, palmar, lateral, spherical, and tip. Fuzzy c-means clustering (FCM) is a data reduction technique that allows continuous membership, on a [0,1] interval, of data points in the representative clusters. We found no grasp to be completely distinct from any other grasp, and found significant overlap of characteristics between several grasps. This overlap is quantified and discussed.","PeriodicalId":131431,"journal":{"name":"9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Fuzzy c-means clustering analysis of the EMG patterns of six major hand grasps\",\"authors\":\"A. Ajiboye, R. Weir\",\"doi\":\"10.1109/ICORR.2005.1501049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We seek to quantify the electromyographic similarities and differences between six major grasping patterns of the human hand: cylindrical, hook, palmar, lateral, spherical, and tip. Fuzzy c-means clustering (FCM) is a data reduction technique that allows continuous membership, on a [0,1] interval, of data points in the representative clusters. We found no grasp to be completely distinct from any other grasp, and found significant overlap of characteristics between several grasps. This overlap is quantified and discussed.\",\"PeriodicalId\":131431,\"journal\":{\"name\":\"9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005.\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICORR.2005.1501049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICORR.2005.1501049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy c-means clustering analysis of the EMG patterns of six major hand grasps
We seek to quantify the electromyographic similarities and differences between six major grasping patterns of the human hand: cylindrical, hook, palmar, lateral, spherical, and tip. Fuzzy c-means clustering (FCM) is a data reduction technique that allows continuous membership, on a [0,1] interval, of data points in the representative clusters. We found no grasp to be completely distinct from any other grasp, and found significant overlap of characteristics between several grasps. This overlap is quantified and discussed.