Multimodal Emotion Recognition in Artificial Intelligence

Dear Colleagues,

Advances in artificial intelligence demand multidisciplinary development of the whole field of affective computing and emotion recognition, which is becoming a key scenario for human–machine interaction, data mining systems, medical self-care, social network analysis, and social influence of multimodal communication.

This Special Issue aims to bring together researchers and practitioners toward stimulating cooperation and cross-fertilization between different communities focused on the research, development, and applications of emotion recognition, both through the use of emotional data and data arousing different types and levels of emotions.

Critical innovations are paving the way for innovative applications in the broad concept of sensors, ranging from personal data (e.g., wearable devices, crowd-sound data, speech, images, brain–computer interfaces) to data from professional sensors collected in labs (e.g., eye-tracking, medical data, MRI, balance boards).

Prof. Dr. Valentina Franzoni
Dr. Giulio Biondi
Prof. Dr. Alfredo Milani
Prof. Dr. Jordi Vallverdú
Guest Editors

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