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December 11, 2025Journal of Multiscale Modelling

Music Emotion Interaction System Based on Brain-Computer Interface: A Hybrid Deep Learning and Transfer Learning Framework

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Authors

YCYanbin Cui

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Overview

This framework demonstrates emotion detection accuracy in brain-computer interactions, indicating advancements in intelligent affective computing.

Key Points

  • To develop a robust hybrid framework for real-time emotion detection from EEG signals using deep learning techniques.
  • Utilized Temporal Convolutional Networks and Capsule Networks for analysis of EEG data.
  • Processed EEG signals from participants listening to emotion-evoking music using Power Spectral Density.
  • Conducted experiments over three sessions to evaluate classification accuracy.
  • Achieved a peak classification accuracy of 89.14%, surpassing traditional models.
  • Demonstrated high inter-session and inter-subject generalizability.
  • Enabled adaptive modification of musical stimuli based on emotional state.

Cite This Study

Yanbin Cui (2025) studied this question.

synapsesocial.com/papers/69401b1e2d562116f28f75b1https://doi.org/10.1142/s175697372640007x
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