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August 20, 2025International Journal for Research in Applied Science and Engineering Technology

Decoding Emotions from EEG Responses Elicited by Videos using Machine Learning Techniques

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Authors

DJD. Jayasoniya

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Implication

Machine learning techniques classify emotions from EEG signals in response to videos, highlighting robust performance.

Key Points

  • The proposed framework classifies emotions with high accuracy using EEG signals elicited by videos, achieving significant results.
  • Evaluation metrics like accuracy and F1-score confirmed the effectiveness of the approach, particularly using a multi-layer perceptron model.
  • Advanced methods like signal preprocessing and feature extraction enhanced the classification process, aiding in capturing emotional states.
  • Findings suggest potential applications in mental health monitoring and human-computer interaction, supporting future developments in affective computing.

Cite This Study

D. Jayasoniya (2025) studied this question.

synapsesocial.com/papers/68af4088cf1dd9ea359ebf53https://doi.org/10.22214/ijraset.2025.73700
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Also Consider

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