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AI-Powered Human-Machine Interface for Emotion Monitoring Using EXG Pill

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The system improves emotion monitoring accuracy by utilizing EEG signals and AI techniques.
Features extracted from EEG data include power spectral density and frontal alpha asymmetry for emotion categorization.
It employs advanced models like SVM, CNN, and LSTM to identify emotional states including calm, happy, sad, and angry.
The use of the EXG Pill enables convenient daily use, enhancing real-time monitoring and feedback for various applications.

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This interface uses EEG signals and deep learning for emotion recognition in users, suggesting potential applications in mental health.

Yuvakarthyayanee et al. (2025) studied this question.

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