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Affective Brain–Computer Interfaces: A Tutorial
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AI
DOI：10.1109/MSP.2025.3632789.png)
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Abstract
En 中文
Affective brain–computer interfaces (aBCIs) are an emerging technology that decodes brain signals—primarily electroencephalography (EEG)—to monitor and regulate emotional states in real time. By detecting and responding to users’ emotional processes, aBCIs hold significant promise for transformative applications in health care, adaptive education, and immersive entertainment. This tutorial introduces the foundational concepts of aBCIs, outlines their key methodologies, and highlights recent advances, as well as ongoing challenges. Our objective is to provide researchers, engineers, and practitioners with a structured roadmap for developing robust, generalizable, and user-adaptive aBCI systems.
Keywords:
Technological innovation
Pipelines
Tutorials
Medical services
Signal processing
Robustness
Regulation
Real-time systems
Usability
Monitoring
Journal
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