{"title":"使用肌电和运动传感器的新型韩语手指语言识别","authors":"Inseok Yeo, Hyun-Chool Shin","doi":"10.1109/ICOIN.2018.8343238","DOIUrl":null,"url":null,"abstract":"This study suggests a new finger language recognition method by adopting EMG, accelerometer and gyro sensors attached to wrist. The proposed Korean finger language is consists of 6 vowels and 6 consonants and three functions: ‘Add stroke’, ‘Double consonant’ and ‘Delete’. In the experiments, it is shown that the accuracy of each motion is improved by 5%.","PeriodicalId":228799,"journal":{"name":"2018 International Conference on Information Networking (ICOIN)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Novel Korean finger language recognition using EMG and motion sensors\",\"authors\":\"Inseok Yeo, Hyun-Chool Shin\",\"doi\":\"10.1109/ICOIN.2018.8343238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study suggests a new finger language recognition method by adopting EMG, accelerometer and gyro sensors attached to wrist. The proposed Korean finger language is consists of 6 vowels and 6 consonants and three functions: ‘Add stroke’, ‘Double consonant’ and ‘Delete’. In the experiments, it is shown that the accuracy of each motion is improved by 5%.\",\"PeriodicalId\":228799,\"journal\":{\"name\":\"2018 International Conference on Information Networking (ICOIN)\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Information Networking (ICOIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOIN.2018.8343238\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Information Networking (ICOIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN.2018.8343238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Novel Korean finger language recognition using EMG and motion sensors
This study suggests a new finger language recognition method by adopting EMG, accelerometer and gyro sensors attached to wrist. The proposed Korean finger language is consists of 6 vowels and 6 consonants and three functions: ‘Add stroke’, ‘Double consonant’ and ‘Delete’. In the experiments, it is shown that the accuracy of each motion is improved by 5%.