Progress in Brain Computer Interface: Challenges and Opportunities

Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such...

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Published inFrontiers in systems neuroscience Vol. 15; p. 578875
Main Authors Saha, Simanto, Mamun, Khondaker A., Ahmed, Khawza, Mostafa, Raqibul, Naik, Ganesh R., Darvishi, Sam, Khandoker, Ahsan H., Baumert, Mathias
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 25.02.2021
Subjects
brain computer interface
cognitive rehabilitation
electrical/hemodynamic brain signals
hybrid/multimodal BCI
neuroimaging techniques
Neuroscience
neurosensors
brain computer interface
neurosensors
electrical/hemodynamic brain signals
neuroimaging techniques
cognitive rehabilitation
hybrid/multimodal BCI
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Summary:Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics, gaming, and neuroscience. Significant research efforts on a global scale have delivered common platforms for technology standardization and help tackle highly complex and non-linear brain dynamics and related feature extraction and classification challenges. Time-variant psycho-neurophysiological fluctuations and their impact on brain signals impose another challenge for BCI researchers to transform the technology from laboratory experiments to plug-and-play daily life. This review summarizes state-of-the-art progress in the BCI field over the last decades and highlights critical challenges.
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Edited by: Alessandro E. P. Villa, Neuro-Heuristic Research Group (NHRG), Switzerland
Reviewed by: Dongrui Wu, Huazhong University of Science and Technology, China; David R. Painter, The University of Queensland, Australia
ISSN:1662-5137
1662-5137
DOI:10.3389/fnsys.2021.578875