Lijun Jiang, Cuntai Guan, Haihong Zhang, C. Wang, Bo Jiang
{"title":"Brain computer interface based 3D game for attention training and rehabilitation","authors":"Lijun Jiang, Cuntai Guan, Haihong Zhang, C. Wang, Bo Jiang","doi":"10.1109/ICIEA.2011.5975562","DOIUrl":null,"url":null,"abstract":"This paper presents a novel approach which uses brain computer interface (BCI) technology to translate the user's mental conditions, especially the attention state, into game control. Leveraging on BCI engine to measure a user's attention level to control a virtual hand's movement and utilizing 3D animation technique, the proposed system is significant for training those who suffering from Attention Deficit Hyperactivity Disorder (ADHD). Comparing to robotic based system, the proposed system is cost-effective, interesting, and ease of use. It also can be extended for rehabilitating the people with neurological disorders, such as those debilitating traumatic events. Potentially, millions people may benefit from the system. The system structure and experimental results will be illustrated in this paper. To our knowledge, no same system is reported yet.","PeriodicalId":304500,"journal":{"name":"2011 6th IEEE Conference on Industrial Electronics and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"58","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2011.5975562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 58
Abstract
This paper presents a novel approach which uses brain computer interface (BCI) technology to translate the user's mental conditions, especially the attention state, into game control. Leveraging on BCI engine to measure a user's attention level to control a virtual hand's movement and utilizing 3D animation technique, the proposed system is significant for training those who suffering from Attention Deficit Hyperactivity Disorder (ADHD). Comparing to robotic based system, the proposed system is cost-effective, interesting, and ease of use. It also can be extended for rehabilitating the people with neurological disorders, such as those debilitating traumatic events. Potentially, millions people may benefit from the system. The system structure and experimental results will be illustrated in this paper. To our knowledge, no same system is reported yet.