Hayriye Donmez’s research while affiliated with Yaşar University and other places

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Publications (3)

Classification of Emotional States from Multi-channel EEG Signals by Convolutional Neural Networks
  • Conference Paper

September 2022

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9 Reads

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2 Citations

Hayriye Donmez

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Citations (2)

... In the domain of EEG-based emotion classification problems, the DEAP dataset is the most studied public dataset [5], [46]. The comprehensive literature review presented herein encapsulates a multifaceted exploration of research pertaining to EEG-based emotion recognition. ...

Reference:

Cross-Subject Channel Selection Using Modified Relief and Simplified CNN-Based Deep Learning for EEG-Based Emotion Recognition
Classification of Emotional States from Multi-channel EEG Signals by Convolutional Neural Networks
  • Citing Conference Paper

  • September 2022

Hayriye Donmez

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... It was concluded that fear represents a very dominant and intense emotion and was classified with a high success rate. The overall accuracy obtained using CNN to classify emotions was 84.69% [28]. Dabas et al. (2018) proposed a three-dimensional emotional model for classifying emotion based on the Valence-Arousal-Dominance (VAD) space. ...

Reference:

Advancing Emotion Recognition: EEG Analysis and Machine Learning for Biomedical Human–Machine Interaction
Emotion Classification from EEG Signals in Convolutional Neural Networks
  • Citing Conference Paper

  • October 2019

Hayriye Donmez

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