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Brain-Computer Interface (BCI) allows machines to be controlled by signals derived from EEG analysis. Several low-cost electroencephalographs are now available on the market, all of which provide high-quality Electroencephalogram (EEG) signals. Detecting a user’s emotional state by analysing their EEG signal is a fascinating approach in this field. In our research, we have attempted to detect the emotional state of nine different emotions. Our research presents a working prototype of an EEG-based emotion recognizer that can be used as biofeedback to provide information about the user’s emotional state.

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Towards a Neurofeedback Tool For Emotion Recognition Using Brain Computer Interface

  • 会议论文

  • 发表日期：

    2025年

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  • Carmelo Ardito,
  • Tommaso Colafiglio,
  • Tommaso Di Noia,
  • Angela Lombardi,
  • Domenico Lofù,
  • Fedelucio Narducci,
  • Paolo Sorino

摘要

Brain-Computer Interface (BCI) allows machines to be controlled by signals derived from EEG analysis. Several low-cost electroencephalographs are now available on the market, all of which provide high-quality Electroencephalogram (EEG) signals. Detecting a user’s emotional state by analysing their EEG signal is a fascinating approach in this field. In our research, we have attempted to detect the emotional state of nine different emotions. Our research presents a working prototype of an EEG-based emotion recognizer that can be used as biofeedback to provide information about the user’s emotional state.