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.
In this competition, we provide a Polish emotional database composed of three modalities: 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). The data is labeled with six basic emotions categories, according to Ekman’s emotion categories. To check the quality of performance, all recordings are evaluated by experts and volunteers.
This competition is addressing the existing challenge on multimodal emotion recognition by artificial agents such a robotic systems, in order to understand human emotional states using audio, facial and gesture inputs.
The percentage of correctly classified samples will be calculated for each emotion class and the average of calculated percentages will be taken as final performance rate.
In this track, the participants should submit a ZIP file containing only one pkl file.
PKL dictionary format to be announced with the validation set.
A PKL file is a file created by pickle, a Python module that enables objects to be serialized to files on disk and deserialized back into the program at runtime. It contains a byte stream that represents the objects.
Please, keep in mind, that Codalab uses Python 2.7 by default. In case you serialized dictionary with predictions in Python3, add 'protocol=2' to the arguments.
Start: Feb. 1, 2019, midnight
Start: June 4, 2019, midnight
June 25, 2019, 11:59 p.m.
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