About this Research Topic
Nowadays, emotion recognition is a popular area of study in artificial intelligence, specifically in the computer vision domain. Thanks to novel technologies provided by machines and deep learning processes, machines can assume human-like attitudes while experiencing feelings. A multidisciplinary approach to computing, combining skills and knowledge from areas as diverse as engineering, neuroscience and behavioural psychology, can make a solid contribution to interpreting the emotional state of human beings and, consequently, be able to adapt its behaviour to its interactors, giving an appropriate response to those emotions. The research aims to find Computer Vision solutions suitable for recognising and managing emotions.
Authors can make available their latest research contributions in the multidisciplinary field of engineering, neuroscience and behavioural psychology applied to the field of computer vision. Therefore, contributions from all of the above areas are welcome. Areas of particular interest include, but are not limited to:
- Big Data Analytics;
- Artificial Intelligence;
- Computer Modelling & Applications;
- Data Mining;
- Information & Knowledge Engineering;
- Computer Vision & Virtual Reality;
- Augmented and Virtual Reality Computer-aided Design/Manufacturing
- Diagnosis in Healthcare;
- Digital Signal and Image Processing;
- Human-Computer Interaction;
- Pattern Recognition & Signal Analysis;
- Decision support systems;
- Distributed control systems;
- Expert systems for psychology;
- Hybrid learning systems;
Well-designed empirical works and studies, theoretical results highlighting insights generated by analyses performed, and successful examples of transferring knowledge from theoretical analyses or empirical studies into a practical scenario or theory inspired by phenomena observed in practice are welcome.
Keywords: Artificial intelligence, Machine Learning, Computer vision, Human behavior, Emotion mining, General psychology
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.