Brain–computer interface connected to telemedicine and telecommunication in virtual reality applications. Issue 4 (July 2017)

• Record Type: Journal Article
• Authors: Hsu, Wei-Yen
• Is Part Of: Telematics and informatics. Volume 34:Issue 4(2017)
• Page Start: 224
• Page End: 238
• Publication Date: 2017-07
• Subjects: Brain–computer interface -- Telemedicine -- Telecommunication -- Artifacts removal; Telecommunication -- Periodicals; Computer networks -- Periodicals; Télécommunications -- Périodiques; Réseaux d'ordinateurs -- Périodiques; 384
• DOI: 10.1016/j.tele.2016.01.003
• Languages: English
• ISSNs: 0736-5853

Abstract

Highlights: A novel BCI is proposed for VR applications in telemedicine and telecommunication. AAR can effectively remove the influence of artifacts and achieve higher accuracy. SFS can precisely select significant sub-features, which enhance the performance. The proposed work is feasible and performs better suitable for VR applications. Abstract: A novel brain–computer interface work is proposed for the applications of virtual reality in telemedicine and telecommunication in this study, in which the aim is to enhance the interactions between the humans and computers with virtual reality technologies. The system mainly contains automatic artifacts removal, feature extraction, significant feature selection and classification. A similarity measure approach is proposed to automatically remove the artifacts, which effectively reduce the influence of artifacts and simultaneously achieve higher accuracy. The artificial bee colony algorithm is used to select significant sub-features from feature combinations, which further greatly enhance the classification accuracy. Experimental results indicate that the proposed system performs better than several state-of-the-art approaches. It is also recommended that it is suitable for the applications of virtual reality in telemedicine and telecommunication.