Robotic systems and computers have become a prominent aspect of our lives, and their presence gives rise to unique technologies. Therefore, human–computer interaction becomes more realistic if computers are capable of recognising the expressions of the human during interaction. Emotion and expression recognition are intuitive yet extremely complicated tasks, as they lay at the base of human–computer interaction, ranging from mobile computing and gaming to health monitoring and robotics. Emotions are evoked by different mechanisms such as events, objects, other people, or phenomena that lead to various consequences manifesting in our body. Automatic affect recognition methods utilize various input types, such as facial expressions, speech, gestures and body language, and physical signals such as electroencephalography (EEG), electromyography (EMG), electrodermal activity, etc. Although emotion recognition has been investigated for many years, it is still an active research area because of the growing interest in applications exploiting avatars, animation, neuromarketing, and sociable robots.

This Special Issue invites contributions that address (i) systems and devices for capturing emotions, and (ii) machine-learning techniques of relevance to tackle the issues above. In particular, submitted papers should clearly show novel contributions and innovative applications covering, but not limited to, any of the following topics around emotion recognition:

• Systems and devices for capturing bio-signals;
• Affective database creation, experiment datasets;
• Data pre-processing;
• Non-intrusive sensor technologies;
• Emotion recognition using mobile phones and smart bracelet;
• Smart clothes and emotion;
• Machine-learning techniques for emotion recognition;   
• Deep learning for emotion recognition.

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website.  

Dr. Dorota Kamińska
Prof. Dr. Gholamreza Anbarjafari
Dr. Frane Urem
Prof. Rui Raposo
Dr. Mário Vairinhos