Human worker activity recognition in a production floor environment through deep learning

A Mastakouris, G Andriosopoulou, D Masouros… - Journal of Manufacturing …, 2023 - Elsevier
One of the aims of the 4th industrial revolution is to seamlessly connect equipment and
personnel to enable a greater level of collaboration, which in turn will result in higher …

A deep learning-enabled visual-inertial fusion method for human pose estimation in occluded human-robot collaborative assembly scenarios

B Wang, C Song, X Li, H Zhou, H Yang… - Robotics and Computer …, 2025 - Elsevier
In the context of human-centric smart manufacturing, human-robot collaboration (HRC)
systems leverage the strengths of both humans and machines to achieve more flexible and …

Multi-sensor fusion based industrial action recognition method under the environment of intelligent manufacturing

Z Wang, J Yan - Journal of Manufacturing Systems, 2024 - Elsevier
In the context of intelligent manufacturing and Industry 4.0, the manufacturing industry is
rapidly transitioning toward mass personalization production. Despite this trend, the …

A multi-stage approach for desired part grasping under complex backgrounds in human-robot collaborative assembly

J Hui, Y Zhang, K Ding, L Guo, CH Chen… - Advanced Engineering …, 2024 - Elsevier
Human-robot collaborative assembly can leverage the unique capabilities of humans and
robots to provide a flexible and efficient way for complex tasks. In this context, robots are …

A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly

D Liu, Y Huang, Z Liu, H Mao, P Kan, J Tan - Journal of Manufacturing …, 2024 - Elsevier
Human-robot collaborative assembly (HRCA) is one of the current trends of intelligent
manufacturing, and assembly action recognition is the basis of and the key to HRCA. A multi …

On effectively predicting autism spectrum disorder therapy using an ensemble of classifiers

B Twala, E Molloy - Scientific Reports, 2023 - nature.com
An ensemble of classifiers combines several single classifiers to deliver a final prediction or
classification decision. An increasingly provoking question is whether such an ensemble …

A lightweight Future Skeleton Generation Network (FSGN) based on spatio-temporal encoding and decoding

T Liu, C Weng, J Huang, Z Ni - Knowledge-Based Systems, 2024 - Elsevier
Since early warning in industrial applications is far more valuable than post-event analysis,
human activity prediction based on partially observed skeleton sequences has become a …

Transformation of Information Systems in the Tasikmalaya City Communication and Information Department

D Herlina, B Harits, Y Mulyana - EAI Endorsed Transactions on …, 2023 - publications.eai.eu
Statistical data and information regarding government and regional development is a right of
the community. But unfortunately, this has not been fully fulfilled in the community. This …

[PDF][PDF] Estimation of Human Poses with mmWave Radar Sensors

EJF Rendón - 2024 - mad.tf.fau.de
Capturing the essence of human motion opens up possibilities from human-computer
interaction to medical diagnosis. HPE as a task, transforms data such as RGB or depth …

A study on digital twin role in industry 5.0 manufacturing

J Rubio Savall - 2024 - riunet.upv.es
[EN] Industry 5.0 is at its dawn, and with it, a new paradigm of the human-machine
relationship has emerged. This new idea of industry states that humans, sustainability, and …