Cargando…
Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain–Computer Interface and Electrooculogram-Based Eye Tracking for Increased Information Transfer Rate
Brain–computer interfaces (BCIs) based on electroencephalogram (EEG) have recently attracted increasing attention in virtual reality (VR) applications as a promising tool for controlling virtual objects or generating commands in a “hands-free” manner. Video-oculography (VOG) has been frequently used...
Autores principales: | Ha, Jisoo, Park, Seonghun, Im, Chang-Hwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908008/ https://www.ncbi.nlm.nih.gov/pubmed/35281718 http://dx.doi.org/10.3389/fninf.2022.758537 |
Ejemplares similares
-
Comparison of Visual Stimuli for Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces in Virtual Reality Environment in terms of Classification Accuracy and Visual Comfort
por: Choi, Kang-min, et al.
Publicado: (2019) -
Development of an electrooculogram-based eye-computer interface for communication of individuals with amyotrophic lateral sclerosis
por: Chang, Won-Du, et al.
Publicado: (2017) -
On the Use of Electrooculogram for Efficient Human Computer Interfaces
por: Usakli, A. B., et al.
Publicado: (2010) -
Eye Movement Signal Classification for Developing Human-Computer Interface Using Electrooculogram
por: Thilagaraj, M., et al.
Publicado: (2021) -
Development of an electrooculogram-based human-computer interface using involuntary eye movement by spatially rotating sound for communication of locked-in patients
por: Kim, Do Yeon, et al.
Publicado: (2018)