Data Analytics and Machine Learning in Artificial Emotional Intelligence

Dear Colleagues,

Computers using Artificial Emotional Intelligence (AEI) technologies are able to determine the user’s emotional state and can react in a proper way. Such systems allow a naturalistic communication between humans and machines. Nowadays AUI technologies are based on methods from Data Analytics and Machine Learning - in particular learning in deep artificial neural networks from multimodal data, including the videos of facial expressions, pose and gesture, voice, bio-physiological data (such as eye movement, ECG, respiration, EEG, FMRT, EMG, eye tracking). The aim of this interdisciplinary topic is to discuss the effectiveness of machine learning and data analytics methods is this special field of multimodal data processing.

We welcome Manuscripts to this interdisciplinary topic from the following fields (but not limited to them)

• Facial expression analysis
• Classification of emotional gestures and poses
• Speech based emotion
• Biophysiological sensors in emotion recognition
• Neural patterns of emotions in EEG and FMRT
• Multimodal analysis and classification of emotions
• Sentiment classification of texts
• Sensor systems for emotion classification
• Emotions in human computer interaction for healthcare and well-being
• Emotion based human computer interaction

Prof. Dr. Friedhelm Schwenker
Prof. Dr. Mariofanna Milanova
Topic Editors