Emotion recognition has a key role in affective computing. People express emotions through different modalities. Integration of verbal and non-verbal communication  channels  creates  a  system  in  which  the message  is  easier  to  understand. Expanding  the  focus  to several expression forms can facilitate research on emotion recognition as well as human-machine interaction. 

Therefore, we, at University of Tartu, University of Barcelona, Lodz University of Technology and University of Aalborg, are now running a joint on challenge Compound Emotion Recognition and Multimodal (Audio, Facial and Gesture) based Emotion Recognition in IEEE FG2020. The challenges are around two important problems which are: 

1. recognition of compound emotions, that require, in addition to performing an effective visual analysis, to deal with recognition of micro emotions. The database includes 31250 facial faces with different emotions of 115 subjects whose gender distribution is almost uniform; 
2. recognition of multimodal emotions composed of three modalities, namely, facial expressions, body movement and gestures, and speech. The corpora contains recordings registered in studio conditions, acted out by 16 professional actors (8 male and 8 female). 

To participate you may check this link: http://icv.tuit.ut.ee/challenge/

The important deadlines are:

If you need any further information please contact me, shb@ut.ee

Best Regards

On behalf of  all organizers

Shahab