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Analyzing emotions from VREED dataset with different ML models like LGBM, LDA, RF, Gradient Boosting

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Emotion dataset VREED

About dataset

  • Analysing emotions using VREED dataset.
  • VREED is a publicly available dataset on Kaggle. Download the dataset using this link - Kaggle .
  • We are using feature extracted eye tracking data, ecg data and gsr data.

About files

  • Each modality is analyzed seperately (GSR, EYE, ECG).
  • GSR+ECG+EYE.ipynb contains analysis of multimodal data.
  • Visualization.ipynb contains visualization of videos used to collect vreed dataset.

Results

  • Multimodal approach worked better than individual modalities.
GSR+ECG+EYE Quad_Cat Arousal Valence
Accuracy 70% 90% 74%
  • Machine learning models like LGBM, LDA, Random Forest, Gradient Boosting Classifier gave better results.

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Analyzing emotions from VREED dataset with different ML models like LGBM, LDA, RF, Gradient Boosting

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