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Personalized Brain–Computer Interface and Its Applications

Yixin Ma, Anmin Gong, Wenya Nan, Peng Ding, Fan Wang, Yunfa Fu

2022Journal of Personalized Medicine45 citationsDOIOpen Access PDF

Abstract

Brain-computer interfaces (BCIs) are a new technology that subverts traditional human-computer interaction, where the control signal source comes directly from the user's brain. When a general BCI is used for practical applications, it is difficult for it to meet the needs of different individuals because of the differences among individual users in physiological and mental states, sensations, perceptions, imageries, cognitive thinking activities, and brain structures and functions. For this reason, it is necessary to customize personalized BCIs for specific users. So far, few studies have elaborated on the key scientific and technical issues involved in personalized BCIs. In this study, we will focus on personalized BCIs, give the definition of personalized BCIs, and detail their design, development, evaluation methods and applications. Finally, the challenges and future directions of personalized BCIs are discussed. It is expected that this study will provide some useful ideas for innovative studies and practical applications of personalized BCIs.

Topics & Concepts

Human–computer interactionBrain–computer interfaceComputer scienceInterface (matter)NeuroscienceMedicinePsychologyOperating systemElectroencephalographyMaximum bubble pressure methodBubbleEEG and Brain-Computer InterfacesNeuroscience and Neural EngineeringNeural dynamics and brain function
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