Human movement datasets: An interdisciplinary scoping review
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 …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
[HTML][HTML] Bridging the gap between emotion and joint action
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 …
adults working together (ie, team sports), or strangers navigating through a crowd. Joint …
The making of meaning through dyadic haptic affective touch
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 …
practices is in its infancy, lacking in-depth understanding needed to inform the design of …
[HTML][HTML] Multi-modal pain intensity assessment based on physiological signals: A deep learning perspective
Traditional pain assessment approaches ranging from self-reporting methods, to
observational scales, rely on the ability of an individual to accurately assess and …
observational scales, rely on the ability of an individual to accurately assess and …
Leveraging activity recognition to enable protective behavior detection in continuous data
Protective behavior exhibited by people with chronic pain (CP) during physical activities is
very informative to understanding their physical and emotional states. Existing automatic …
very informative to understanding their physical and emotional states. Existing automatic …
Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions
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 …
uniform platform for the comparison of multi-modal machine learning and multimedia …
Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs
MM Dehshibi, T Olugbade… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
There is a growing body of studies on applying deep learning to biometrics analysis. Certain
circumstances, however, could impair the objective measures and accuracy of the proposed …
circumstances, however, could impair the objective measures and accuracy of the proposed …
Learning temporal and bodily attention in protective movement behavior detection
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 …
functioning is essential to understand their subjective pain-related experiences (eg, fear and …
Emopain (at) home: Dataset and automatic assessment within functional activity for chronic pain rehabilitation
T Olugbade, RA Buono, CDC Amanda… - 2022 10th …, 2022 - ieeexplore.ieee.org
While there is growing interest in developing tech-nology to support pain assessment, pain-
related self-management, and healthcare personalisation, there are currently no datasets on …
related self-management, and healthcare personalisation, there are currently no datasets on …
Recurrent network based automatic detection of chronic pain protective behavior using mocap and semg data
In chronic pain physical rehabilitation, physiotherapists adapt exercise sessions according
to the movement behavior of patients. As rehabilitation moves beyond clinical sessions …
to the movement behavior of patients. As rehabilitation moves beyond clinical sessions …