{"title":"面向可视化虚拟手臂系统的人体手臂运动识别算法分析","authors":"K. Brzostowski, Maciej Ziȩba","doi":"10.1109/ICSEng.2011.83","DOIUrl":null,"url":null,"abstract":"This paper presents preliminary studies on the problem of classification of different kinds of human arm motions based on EMG signals. Methods of change detection, classification, features extraction and selection are considered as an important elements of recognition process. Presented algorithms are part of module to visualise human arm movements. The aim of presented work is to develop system to support technical training of tennis player through visualisation of human arm motions and biofeedback.","PeriodicalId":387483,"journal":{"name":"2011 21st International Conference on Systems Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Analysis of Human Arm Motions Recognition Algorithms for System to Visualize Virtual Arm\",\"authors\":\"K. Brzostowski, Maciej Ziȩba\",\"doi\":\"10.1109/ICSEng.2011.83\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents preliminary studies on the problem of classification of different kinds of human arm motions based on EMG signals. Methods of change detection, classification, features extraction and selection are considered as an important elements of recognition process. Presented algorithms are part of module to visualise human arm movements. The aim of presented work is to develop system to support technical training of tennis player through visualisation of human arm motions and biofeedback.\",\"PeriodicalId\":387483,\"journal\":{\"name\":\"2011 21st International Conference on Systems Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 21st International Conference on Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSEng.2011.83\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 21st International Conference on Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSEng.2011.83","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Human Arm Motions Recognition Algorithms for System to Visualize Virtual Arm
This paper presents preliminary studies on the problem of classification of different kinds of human arm motions based on EMG signals. Methods of change detection, classification, features extraction and selection are considered as an important elements of recognition process. Presented algorithms are part of module to visualise human arm movements. The aim of presented work is to develop system to support technical training of tennis player through visualisation of human arm motions and biofeedback.
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