Towards cognition-augmented human-centric assembly: A visual computation perspective
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 …
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 …
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
Electrooculogram (EOG) is the measurement of the biopotential generated by eye
movement. These signals are crucial for people with severe motor disabilities because they …
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
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 …
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 …
offers numerous advantages, including increased efficiency and enhanced safety. However …
ARFN: An Attention-Based Recurrent Fuzzy Network for EEG Mental Workload Assessment
Assessing mental workload using electroencephalogram (EEG) signals is a significant
research avenue within the brain–computer interface (BCI) domain. However, due to the low …
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 …
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
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 …
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 …
focus from technologies embedded in manufacturing systems to workers. Efforts in the …
Investigation and Prediction of Cognitive Load During Memory and Arithmetic Tasks
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 …
tasks (with two levels of difficulty: easy and hard) on human cognitive load using biometric …