L. Bergasa, M. Mazo, A. Gardel, J.C. Garcia, Á. Ortuño, A.E. Mendez
{"title":"Guidance of a wheelchair for handicapped people by face tracking","authors":"L. Bergasa, M. Mazo, A. Gardel, J.C. Garcia, Á. Ortuño, A.E. Mendez","doi":"10.1109/ETFA.1999.815344","DOIUrl":null,"url":null,"abstract":"This paper shows a guidance system for an electrical wheelchair for handicapped people by head movements. A color face tracking system has been developed in order to compute head movements of the user and, depending on them, some commands are generated to drive the wheelchair. The system is non-intrusive and it allows visibility and freedom of head movements. It is able to learn the face features of the user in an automatic initial setup, working even for people of different races. It is adaptive and, therefore, robust to light and background changes in inside environments. It has been tested with several users and some results are given.","PeriodicalId":119106,"journal":{"name":"1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)","volume":"52 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.1999.815344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
This paper shows a guidance system for an electrical wheelchair for handicapped people by head movements. A color face tracking system has been developed in order to compute head movements of the user and, depending on them, some commands are generated to drive the wheelchair. The system is non-intrusive and it allows visibility and freedom of head movements. It is able to learn the face features of the user in an automatic initial setup, working even for people of different races. It is adaptive and, therefore, robust to light and background changes in inside environments. It has been tested with several users and some results are given.