The AffectMove challenge is based on 3 naturalistic datasets on body movement, which is a fundamental component of everyday living both in the execution of the actions that make up physical functioning as well as in rich expression of affect, cognition, and intent [de Gelder 2009; Pezzulo et al. 2019]. The datasets were built on deep understanding of the requirements of automatic detection technology for chronic pain physical rehabilitation, maths problem solving, and interactive dance contexts respectively.

There are several qualities of these data that make them an interesting machine learning challenge:

Challenge Description

The AffectMove challenge consists of 3 tasks:


The challenge will follow the following protocol:

Important Dates


Please check for further details and updates.