Towards cognition-augmented human-centric assembly: A visual computation perspective

J Pang, P Zheng, J Fan, T Liu - Robotics and Computer-Integrated …, 2025 - Elsevier
Human-centric assembly is emerging as a promising paradigm for achieving mass
personalization in the context of Industry 5.0, as it fully capitalizes on the advantages of …

How to Measure Stress in Smart and Intelligent Manufacturing Systems: A Systematic Review

G Blandino - Systems, 2023 - mdpi.com
The Fourth Industrial Revolution has introduced innovative technologies to manufacturing,
resulting in digital production systems with consequences on workers' roles and well-being …

[HTML][HTML] Comparison of classification techniques for the control of EOG-based HCIs

A López, JR Villar, M Fernández, FJ Ferrero - … Signal Processing and …, 2023 - Elsevier
Electrooculogram (EOG) is the measurement of the biopotential generated by eye
movement. These signals are crucial for people with severe motor disabilities because they …

A neuroergonomic approach to assessing motor performance in stroke patients using fNIRS and behavioral data

L Bu, J Qu, L Zhao, Y Zhang, Y Wang - Applied Ergonomics, 2023 - Elsevier
Stroke is characterized by high morbidity and disability, and proposing effective methods for
assessing and designing rehabilitation products is an attractive topic in current research. In …

Cognitive and behavioral markers for human detection error in AI-assisted bridge inspection

F Dalilian, D Nembhard - Applied ergonomics, 2024 - Elsevier
Abstract Integrating Artificial Intelligence (AI) and drone technology into bridge inspections
offers numerous advantages, including increased efficiency and enhanced safety. However …

ARFN: An Attention-Based Recurrent Fuzzy Network for EEG Mental Workload Assessment

Z Wang, Y Ouyang, H Zeng - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Assessing mental workload using electroencephalogram (EEG) signals is a significant
research avenue within the brain–computer interface (BCI) domain. However, due to the low …

Determining Cognitive Workload Using Physiological Measurements: Pupillometry and Heart-Rate Variability

X Ma, R Monfared, R Grant, YM Goh - Sensors, 2024 - mdpi.com
The adoption of Industry 4.0 technologies in manufacturing systems has accelerated in
recent years, with a shift towards understanding operators' well-being and resilience within …

Designing the Operator of the Future: The Architecture of Human Digital Twin Systems

D Battini, N Berti, C Cella, M Faroni, P Garza… - IFAC-PapersOnLine, 2024 - Elsevier
The central role that the human operator assumed in industrial design and development
processes, driven by Industry 5.0 principles, has paved the way for the creation of new …

Workload and stress evaluation in advanced manufacturing systems

G Blandino, F Montagna… - Materials Research …, 2023 - mrforum.com
Industry 5.0 emphasizes the development of human-centred work environments, shifting the
focus from technologies embedded in manufacturing systems to workers. Efforts in the …

Investigation and Prediction of Cognitive Load During Memory and Arithmetic Tasks

PZ Muke, A Kozierkiewicz, M Pietranik - International Conference on …, 2023 - Springer
The research presented in this paper aimed to study the effects of arithmetic and memory
tasks (with two levels of difficulty: easy and hard) on human cognitive load using biometric …