The identity of the protagonist in brain-computer interfaces: A user-centered design approach

Mercado-Garcia, V. R.; Alonso-Valerdi, Luz María

doi:10.1109/conielecomp.2018.8327174

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…The most common BCIs have provided users with visual feedback that could be discrete or continuous [33]; symbolic, e.g. presenting one-dimensional (1D) indicator [34] or displaying two-dimensional (2D) scenes [35]; realistic, e.g. involving augmented reality (AR) [36]; or virtual, e.g.…”

Section: Introductionmentioning

confidence: 99%

Human Computer Interaction Feedback Based-On Data Visualization Using MVAR and NN

Olszewska

2021

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)

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In the situation of pandemic with people being ill, contagious, or suffering from long-term effects, touchless human computer interfaces, and especially brain computer interfaces (BCI), could provide humans with safe communication technologies as well as user-centric systems for rehabilitation. Hence, this work studies at first the representation of electroencephalogram (EEG) signals in a data space which is appropriate for an efficient data processing and a user-friendly interpretation. Then, we propose 3D data visualizations mapping the human brain activity into that data space. The developed representations have been successfully tested within a BCI framework through 3D data visualizations the user can see and interact with in real time.

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