Online human motion analysis in industrial context: A review

T Benmessabih, R Slama, V Havard… - Engineering Applications of …, 2024 - Elsevier
Human motion analysis plays a crucial role in industry 4.0 and, more recently, in industry 5.0
where human-centered applications are becoming increasingly important, demonstrating its …

Exploiting Spatio-Temporal Human-Object Relations Using Graph Neural Networks for Human Action Recognition and 3D Motion Forecasting

D Lagamtzis, F Schmidt, J Seyler… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Human action recognition and motion forecasting is becoming increasingly successful, in
particular with utilizing graphs. We aim to transfer this success into the context of industrial …

[HTML][HTML] Data-efficient multimodal human action recognition for proactive human–robot collaborative assembly: A cross-domain few-shot learning approach

T Wang, Z Liu, L Wang, M Li, XV Wang - Robotics and Computer-Integrated …, 2024 - Elsevier
With the recent vision of Industry 5.0, the cognitive capability of robots plays a crucial role in
advancing proactive human–robot collaborative assembly. As a basis of the mutual …

PEC: Human-robot collaborative dataset for behavior recognition in pathology examination scenes

B Wang, G Zhang, M Zhang, B Pei, Y Yang… - Multimedia Tools and …, 2024 - Springer
In recent years, the number of iterations required to complete innovative research
experiments has been increasing with the advancement of biomedical technology. Existing …

Graph Neural Networks for Joint Action Recognition, Prediction and Motion Forecasting for Industrial Human-Robot Collaboration

D Lagamtzis, F Schmidt, J Seyler… - ISR Europe 2023; …, 2023 - ieeexplore.ieee.org
Reasoning about human intentions, especially human action recognition, prediction, and
motion forecasting is becoming increasingly successful, in particular with the use of graphs …