  The EmoPain 2020 Challenge is the first international competition aimed at
creating a uniform platform for the comparison of machine learning and
multimedia processing methods of automatic chronic pain assessment from human
expressive behaviour, and also the identification of pain-related behaviours.
The objective of the challenge is to promote research in the development of
assistive technologies that help improve the quality of life for people with
chronic pain via real-time monitoring and feedback to help manage their
condition and remain physically active. The challenge also aims to encourage
the use of the relatively underutilised, albeit vital bodily expression signals
for automatic pain and pain-related emotion recognition. This paper presents a
description of the challenge, competition guidelines, bench-marking dataset,
and the baseline systems' architecture and performance on the three sub-tasks:
pain estimation from facial expressions, pain recognition from multimodal
movement, and protective movement behaviour detection.
