The proposed method employs a two-layer classification process to detect Arousal and Valence (the emotion's hedonic component), based on four psycho ...

Apr 16, 2024 · The proposed method employs a two-layer classification process to detect Arousal and Valence (the emotion's hedonic component), based on four ...

The proposed method employs a two-layer classification process to detect Arousal and Valence (the emotion's hedonic component), based on four psycho ...

Abstract—With the rising popularity of affective computing techniques, there have been several advances in the field of emotion recognition systems.

The proposed method employs a two-layer classification process to detect Arousal and Valence (the emotion's hedonic component), based on four psycho ...

The proposed method employs a two-layer classification process to detect Arousal and Valence (the emotion's hedonic component), based on four psycho ...

This paper proposes a hybrid deep learning emotion classification system (HDECS), a hybrid multimodal deep learning system designed for emotion classification.

This paper offers a novel approach with a combined classifier to recognise human emotion states based on electroencephalogram (EEG) signal. The objective is ...

A hybrid approach at emotional state detection: Merging theoretical models of emotion with data-driven statistical classifiers. 2013, Proceedings - 2013 IEEE ...

A Hybrid Approach at Emotional State Detection: Merging Theoretical Models of Emotion with Data-Driven Statistical Classifiers · P. NogueiraR. Rodrigues ...