{"title":"Mind interactive multimedia system for disabled people","authors":"F. Jabeen, L. Tao, Xinyue Wang","doi":"10.1109/CISP-BMEI.2017.8302322","DOIUrl":null,"url":null,"abstract":"Mind Interactive Multimedia System (MIMS) is designed to allow people with severe disabilities (amyotrophic lateral sclerosis (ALS), traumatic brain injuries (TBI) and spinal cord injury (SCI)) to use computers with ease and accuracy through EEG signals. With primary focus towards special needs and user experience (UX) of patients, an interaction theory is presented, which makes a meaningful contribution in the area of Brain-Computer-Interaction (BCI). A BCI system (working with single cognitive signal) based on Emotiv EPOC headset (a commercial-type, 14-channel electroencephalography (EEG) signals reader) is also introduced, which meets the needs in communication, actual caregiving and recreation for patients. Evaluation results indicate that proposed MIMS (software and hardware) can provide convenient communication for ALS patients.","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"19 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP-BMEI.2017.8302322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Mind Interactive Multimedia System (MIMS) is designed to allow people with severe disabilities (amyotrophic lateral sclerosis (ALS), traumatic brain injuries (TBI) and spinal cord injury (SCI)) to use computers with ease and accuracy through EEG signals. With primary focus towards special needs and user experience (UX) of patients, an interaction theory is presented, which makes a meaningful contribution in the area of Brain-Computer-Interaction (BCI). A BCI system (working with single cognitive signal) based on Emotiv EPOC headset (a commercial-type, 14-channel electroencephalography (EEG) signals reader) is also introduced, which meets the needs in communication, actual caregiving and recreation for patients. Evaluation results indicate that proposed MIMS (software and hardware) can provide convenient communication for ALS patients.