A survey of immersive technologies and applications for industrial product development
With the expanded digitalization of manufacturing and product development process,
research into the use of immersive technology in smart manufacturing has increased. The …
research into the use of immersive technology in smart manufacturing has increased. The …
[HTML][HTML] AI-assisted monitoring of human-centered assembly: A comprehensive review
Detection and localization of activities in a human-centric manufacturing assembly operation
will help improve manufacturing process optimization. Through the human-in-loop …
will help improve manufacturing process optimization. Through the human-in-loop …
Acceleration-based activity recognition of repetitive works with lightweight ordered-work segmentation network
This study presents a new neural network model for recognizing manual works using body-
worn accelerometers in industrial settings, named Lightweight Ordered-work Segmentation …
worn accelerometers in industrial settings, named Lightweight Ordered-work Segmentation …
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 …
rapidly transitioning toward mass personalization production. Despite this trend, the …
Toward practical factory activity recognition: unsupervised understanding of repetitive assembly work in a factory
T Maekawa, D Nakai, K Ohara, Y Namioka - Proceedings of the 2016 …, 2016 - dl.acm.org
In a line production system of a factory, a worker repetitively performs predefined operation
processes. This paper tries to recognize work by factory workers in an unsupervised …
processes. This paper tries to recognize work by factory workers in an unsupervised …
Robust unsupervised factory activity recognition with body-worn accelerometer using temporal structure of multiple sensor data motifs
This paper presents a robust unsupervised method for recognizing factory work using
sensor data from body-worn acceleration sensors. In line-production systems, each factory …
sensor data from body-worn acceleration sensors. In line-production systems, each factory …
Action recognition in manufacturing assembly using multimodal sensor fusion
Production innovations are occurring faster than ever. Manufacturing workers thus need to
frequently learn new methods and skills. In fast changing, largely uncertain production …
frequently learn new methods and skills. In fast changing, largely uncertain production …
Robust activity recognition for aging society
Human activity recognition (HAR) is widely applied to many industrial applications. In the
context of Industry 4.0, driven by the same demand of machines' self-organizing ability, HAR …
context of Industry 4.0, driven by the same demand of machines' self-organizing ability, HAR …
Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field
Manufacturing industries strive to improve production efficiency and product quality by
deploying advanced sensing and control systems. Wearable sensors are emerging as a …
deploying advanced sensing and control systems. Wearable sensors are emerging as a …
Unsupervised factory activity recognition with wearable sensors using process instruction information
This paper presents an unsupervised method for recognizing assembly work done by factory
workers by using wearable sensor data. Such assembly work is a common part of line …
workers by using wearable sensor data. Such assembly work is a common part of line …