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. 2022 Oct 6;16:1024316. doi: 10.3389/fnins.2022.1024316

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Copyright © 2022 Zhao, Wu, Zhou, Wang and Jia.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The proposed affective brain-computer music interface (aBCMI). The system consists of five key elements: (A). The user of the system (B). The user’s physiological signal acquisition module (including the electroencephalogram (EEG), electrocardiogram (ECG) and respiration rate) (C). An emotional state detection system for identifying a current emotional state that a user is experiencing (D). A case-based reasoning system that determines how a user moves from his current emotional state to a new target emotional state (E). The music generator is used to play music for the user. The case-based reasoning system identifies the most appropriate emotional trajectory and moves them to the target emotional state.