Emotion is an important part of Human-Computer-Interaction, which has attracted the attention of many scholars. The external manifestations of emotion include speech fundamental frequency mode (pitch), speech content (text), facial muscle coding, electroencephalogram, heart rate, skin electricity and so on. The internal principle of emotion involves psychology and neurophysiology. These external manifestations of emotion often reflect some mental disorder or disease of the subject, such as obsessive-compulsive disorder (OCD), autism, depression, autism and so on.
Most of the existing research uses information modeling techniques such as Artificial Neural Network to model the external manifestations of emotion, and some research involves multi-modal data. The research on the mechanism of emotion cognition and expression is also one of the hotspots, including the relationship between the occurrence of various neurological diseases and the pathological changes in the cortex of emotion perception. In addition, the technology of emotional human-computer interaction has been developed greatly, such as emotion speech synthesis, automatic expression generation, etc. However, the ability of AI to perceive and express emotions is not yet comparable to that of humans. On the one hand, because of the complexity of emotion, it is very difficult to obtain a large and high-quality data set of emotional external performance, on the other hand, the mechanism of emotional perception in the brain is still unclear, how to explain emotional expression is still a problem.
This Research Topic aims to study the neurophysiological principle of emotion and the coding of its external manifestations, Including but not limited to the following directions:
- High-quality database of emotion external manifestations, such as voice, facial expression, EEG, ECG, skin electricity, body temperature, etc.
- Advanced emotion recognition model, such as artificial neural network, transformer, etc.
- Emotion generation model for emotional human-computer interaction,
- Emotion perception principle of the brain
- Emotion-related psychopathy principle, including obsessive-compulsive disorder (OCD), autism, depression, autism, etc.
This research topic welcomes submissions of the following article types: Original Research, Review, Methods, Code, Data Report, Technology
Keywords:
Emotion manifestations, Emotion recognition, Emotion synthesis, Artificial Neural Network, Human-computer interaction
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Emotion is an important part of Human-Computer-Interaction, which has attracted the attention of many scholars. The external manifestations of emotion include speech fundamental frequency mode (pitch), speech content (text), facial muscle coding, electroencephalogram, heart rate, skin electricity and so on. The internal principle of emotion involves psychology and neurophysiology. These external manifestations of emotion often reflect some mental disorder or disease of the subject, such as obsessive-compulsive disorder (OCD), autism, depression, autism and so on.
Most of the existing research uses information modeling techniques such as Artificial Neural Network to model the external manifestations of emotion, and some research involves multi-modal data. The research on the mechanism of emotion cognition and expression is also one of the hotspots, including the relationship between the occurrence of various neurological diseases and the pathological changes in the cortex of emotion perception. In addition, the technology of emotional human-computer interaction has been developed greatly, such as emotion speech synthesis, automatic expression generation, etc. However, the ability of AI to perceive and express emotions is not yet comparable to that of humans. On the one hand, because of the complexity of emotion, it is very difficult to obtain a large and high-quality data set of emotional external performance, on the other hand, the mechanism of emotional perception in the brain is still unclear, how to explain emotional expression is still a problem.
This Research Topic aims to study the neurophysiological principle of emotion and the coding of its external manifestations, Including but not limited to the following directions:
- High-quality database of emotion external manifestations, such as voice, facial expression, EEG, ECG, skin electricity, body temperature, etc.
- Advanced emotion recognition model, such as artificial neural network, transformer, etc.
- Emotion generation model for emotional human-computer interaction,
- Emotion perception principle of the brain
- Emotion-related psychopathy principle, including obsessive-compulsive disorder (OCD), autism, depression, autism, etc.
This research topic welcomes submissions of the following article types: Original Research, Review, Methods, Code, Data Report, Technology
Keywords:
Emotion manifestations, Emotion recognition, Emotion synthesis, Artificial Neural Network, Human-computer interaction
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.