Imanuel Simatupang, D. Pamungkas, S. K. Risandriya
{"title":"Naïve Bayes Classifier for Hand Gestures Recognition","authors":"Imanuel Simatupang, D. Pamungkas, S. K. Risandriya","doi":"10.5220/0010352601100114","DOIUrl":null,"url":null,"abstract":": This paper provides recognizing the five gestures of the fingers using Naïve Bayes method. The electromyography signal (EMG) is utilized to recognize the fingers movement. A myo armband is used to obtain the signal. The average success rate of the system is about 90.61%. To verify the results, the outputs of the system are used to control a mobile robot. The results show that the system is able to control the movement of the robot.","PeriodicalId":103441,"journal":{"name":"Proceedings of the 3rd International Conference on Applied Engineering","volume":"23 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Applied Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0010352601100114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
: This paper provides recognizing the five gestures of the fingers using Naïve Bayes method. The electromyography signal (EMG) is utilized to recognize the fingers movement. A myo armband is used to obtain the signal. The average success rate of the system is about 90.61%. To verify the results, the outputs of the system are used to control a mobile robot. The results show that the system is able to control the movement of the robot.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
