Our daily human life is filled with a myriad of joint action moments, be it children playing,
adults working together (ie, team sports), or strangers navigating through a crowd. Joint …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Despite the importance of touch in human–human relations, research in affective tactile
practices is in its infancy, lacking in-depth understanding needed to inform the design of …

Traditional pain assessment approaches ranging from self-reporting methods, to
observational scales, rely on the ability of an individual to accurately assess and …

The EmoPain 2020 Challenge is the first international competition aimed at creating a
uniform platform for the comparison of multi-modal machine learning and multimedia …

Protective behavior exhibited by people with chronic pain (CP) during physical activities is
very informative to understanding their physical and emotional states. Existing automatic …

For people with chronic pain, the assessment of protective behavior during physical
functioning is essential to understand their subjective pain-related experiences (eg, fear and …

In chronic pain physical rehabilitation, physiotherapists adapt exercise sessions according
to the movement behavior of patients. As rehabilitation moves beyond clinical sessions …

The problem of continuous emotion recognition has been the subject of several studies. The
proposed affective computing approaches employ sequential machine learning algorithms …

Many areas in computer science are facing the need to analyze, quantify and reproduce
movements expressing emotions. This paper presents a systematic review of the intelligible …