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A genetic programming-based feature selection and fusion for facial expression recognition
Emotion recognition has become one of the most active research areas in pattern
recognition due to the emergence of human–machine interaction systems. Describing facial …
recognition due to the emergence of human–machine interaction systems. Describing facial …
[PDF][PDF] Emotion classification in arousal valence model using MAHNOB-HCI database
Emotion recognition from physiological signals attracted the attention of researchers from
different disciplines, such as affective computing, cognitive science and psychology. This …
different disciplines, such as affective computing, cognitive science and psychology. This …
Multi-modal facial expression feature based on deep-neural networks
W Wei, Q Jia, Y Feng, G Chen, M Chu - Journal on Multimodal User …, 2020 - Springer
Emotion recognition based on facial expression is a challenging research topic and has
attracted a great deal of attention in the past few years. This paper presents a novel method …
attracted a great deal of attention in the past few years. This paper presents a novel method …
Modeling the affective space of 360 virtual reality videos based on arousal and valence for wearable EEG-based VR emotion classification
This study attempts to produce a novel database for emotional analysis which uses virtual
reality (VR) contents, obtained from third party sources such as YouTube, Discovery VR …
reality (VR) contents, obtained from third party sources such as YouTube, Discovery VR …
Fusion of transformed shallow features for facial expression recognition
Facial expression conveys important signs about the human affective state, cognitive activity,
intention and personality. In fact, the automatic facial expression recognition systems are …
intention and personality. In fact, the automatic facial expression recognition systems are …
Emotion classification in arousal-valence dimension using discrete affective keywords tagging
Human emotional recognition is a recent topic and an essential stage in Human-Computer
Interaction issue. Recently, investigated researches have proved that the analysis of …
Interaction issue. Recently, investigated researches have proved that the analysis of …
Emotion analysis of occluded facial expressions-a review of literature
Emotions are really crucial in our daily lives.; hence the understanding and detection of
emotional reactions are essential for human research. Emotions are multifaceted …
emotional reactions are essential for human research. Emotions are multifaceted …
Modeling the 2D space of emotions based on the poincare plot of heart rate variability signal
Emotions mean accepting, understanding, and recognizing something with one's senses.
The physiological signals generated from the internal organs of the body can objectively and …
The physiological signals generated from the internal organs of the body can objectively and …
Emotion assessing using valence-arousal evaluation based on peripheral physiological signals and support vector machine
Emotion recognition becomes an investigated topic in affective computing for several
applications. The presented paper aims to recognize human emotions using peripheral …
applications. The presented paper aims to recognize human emotions using peripheral …
Emotion sensing from physiological signals using three defined areas in arousal-valence model
This paper aims to recognize the human emotional states into three defined areas in arousal-
valence evaluation: Corresponding to calm, medium aroused, and excited, unpleasant …
valence evaluation: Corresponding to calm, medium aroused, and excited, unpleasant …