{"title":"残疾人电动轮椅的脑电图控制","authors":"F. Ben Taher, N. Ben Amor, M. Jallouli","doi":"10.1109/ICBR.2013.6729275","DOIUrl":null,"url":null,"abstract":"This paper presents a description of an intelligent control method for controlling an electric wheelchair for several disabled persons. It also describes a non invasive approach based on EEG brain signal that can command the wheelchair with cognitive data, eye movements and head gestures. Our technique aim is to cover the largest number of handicapped person.","PeriodicalId":269516,"journal":{"name":"2013 International Conference on Individual and Collective Behaviors in Robotics (ICBR)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"EEG control of an electric wheelchair for disabled persons\",\"authors\":\"F. Ben Taher, N. Ben Amor, M. Jallouli\",\"doi\":\"10.1109/ICBR.2013.6729275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a description of an intelligent control method for controlling an electric wheelchair for several disabled persons. It also describes a non invasive approach based on EEG brain signal that can command the wheelchair with cognitive data, eye movements and head gestures. Our technique aim is to cover the largest number of handicapped person.\",\"PeriodicalId\":269516,\"journal\":{\"name\":\"2013 International Conference on Individual and Collective Behaviors in Robotics (ICBR)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Individual and Collective Behaviors in Robotics (ICBR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBR.2013.6729275\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Individual and Collective Behaviors in Robotics (ICBR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBR.2013.6729275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EEG control of an electric wheelchair for disabled persons
This paper presents a description of an intelligent control method for controlling an electric wheelchair for several disabled persons. It also describes a non invasive approach based on EEG brain signal that can command the wheelchair with cognitive data, eye movements and head gestures. Our technique aim is to cover the largest number of handicapped person.