Using electrodes placed on the scalp, a Brain-Computer Interface (BCI) may read electric activity in the brain and interpret it into orders to be sent to output devices. Artificial neuromuscular output channels are not used in BCIs. People with neuromuscular illnesses such as cerebral palsy, amyotrophic lateral sclerosis, spinal cord or stroke might greatly benefit from BCI since it can help them regain or maintain the abilities they once had. Standardized technological platforms have been developed as a result of massive multinational research efforts; and these platforms have the potential to be utilized to tackle intractable issues such as feature selection and segmentation, as well as the brain's incredibly complex dynamics. Researchers working on BCIs face additional challenges from the impact of time-variable psycho-neurophysiological fluctuations on brain signals, which must be overcome before the technology can be used in a plug-and-play fashion in daily life. This article provides a concise summary of the decades of research and development that have gone into BCIs so far, as well as a discussion of the most pressing issues yet to be solved.
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Zhu Jiping
Zhu Jiping
Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui province, China.
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Cite this article
Zhu Jiping, “Brain Computer Interface System, Performance, Challenges and Applications”, Journal of Computing and Natural Science, vol.3, no.1, pp. 046-057, January 2023. doi: 10.53759/181X/JCNS202303005.
