Enabling technologies for operator 4.0: A survey

T Ruppert, S Jaskó, T Holczinger, J Abonyi - Applied sciences, 2018 - mdpi.com
The fast development of smart sensors and wearable devices has provided the opportunity
to develop intelligent operator workspaces. The resultant Human-Cyber-Physical Systems …

Software sensor for activity-time monitoring and fault detection in production lines

T Ruppert, J Abonyi - Sensors, 2018 - mdpi.com
Industry 4.0-based human-in-the-loop cyber-physical production systems are transforming
the industrial workforce to accommodate the ever-increasing variability of production. Real …

Efficient algorithms for accelerometer-based wearable hand gesture recognition systems

G Marqués, K Basterretxea - 2015 IEEE 13th International …, 2015 - ieeexplore.ieee.org
The rapid increase in the use of robotic systems in industrial and domestic environments
makes it necessary the development of more natural interaction procedures. This paper …

Task recognition from joint tracking data in an operational manufacturing cell

DJ Rude, S Adams, PA Beling - Journal of Intelligent Manufacturing, 2018 - Springer
This paper investigates the feasibility of using inexpensive, general-purpose automated
methods for recognition of worker activity in manufacturing processes. A novel aspect of this …

Recognizing product application based on integrated consumer grade sensors: a case study with handheld power tools

M Dörr, M Ries, T Gwosch, S Matthiesen - Procedia CIRP, 2019 - Elsevier
As more and more consumer grade sensors are integrated into products such as handheld
power tools, data acquisition is becoming more affordable. The product development …

Shop floor data-driven spatial–temporal verification for manual assembly planning

W Fang, L Zheng - Journal of Intelligent Manufacturing, 2020 - Springer
Motivated by the increasing demand and highly customized products, accurate and up-to-
date information about the manufacturing process become essential to meet these …

Avoiding bias in classification accuracy-a case study for activity recognition

H Koskimäki - 2015 IEEE symposium series on computational …, 2015 - ieeexplore.ieee.org
The amount of studies on classification of human characteristics based on measured
individual signals has increased rapidly. In wearable sensors based activity recognition a …

A benchmark dataset for depth sensor based activity recognition in a manufacturing process

DJ Rude, S Adams, PA Beling - IFAC-PapersOnLine, 2015 - Elsevier
Algorithms for automated recognition of human activities are crucial for supporting the next
generation of process measures in manufacturing. While there is active research underway …

Activity Recognition With Machine Learning in Manual Grinding

M Dörr, F Spoden, S Matthiesen… - Journal of …, 2022 - asmedigitalcollection.asme.org
Capturing data about manual processes and manual machining steps is important in
manufacturing for better traceability, optimization, and better planning. Current …

[PDF][PDF] Human integration in task-driven flexible manufacturing systems

M Peschl, J Roening, N Link - Proceedings of the 23rd International …, 2012 - daaam.info
In manufacturing environments where tasks and task goals are changed frequently, humans
instead of (inflexible) machines and devices are used. Due to their natural intelligence …