[HTML][HTML] Ergonomic human-robot collaboration in industry: A review

M Lorenzini, M Lagomarsino, L Fortini… - Frontiers in Robotics …, 2023 - frontiersin.org
In the current industrial context, the importance of assessing and improving workers' health
conditions is widely recognised. Both physical and psycho-social factors contribute to …

[HTML][HTML] Measuring human physiological indices for thermal comfort assessment through wearable devices: A review

SA Mansi, G Barone, C Forzano, I Pigliautile, M Ferrara… - Measurement, 2021 - Elsevier
Thermal comfort is defined as the condition of mind that expresses satisfaction with the
thermal environment and it is assessed by subjective evaluation. Achieving comfortable …

Stress detection using deep neural networks

R Li, Z Liu - BMC Medical Informatics and Decision Making, 2020 - Springer
Abstract Background Over 70% of Americans regularly experience stress. Chronic stress
results in cancer, cardiovascular disease, depression, and diabetes, and thus is deeply …

How do urban environments affect young people's mental health? A novel conceptual framework to bridge public health, planning, and neurourbanism

A Buttazzoni, S Doherty, L Minaker - Public Health Reports, 2022 - journals.sagepub.com
Childhood and adolescence are crucial periods for mental and social development.
Currently, mental illness among young people is a global epidemic, and rates of disorders …

An online framework for cognitive load assessment in industrial tasks

M Lagomarsino, M Lorenzini, E De Momi… - Robotics and Computer …, 2022 - Elsevier
The ongoing trend toward Industry 4.0 has revolutionised ordinary workplaces, profoundly
changing the role played by humans in the production chain. Research on ergonomics in …

Human stress detection with wearable sensors using convolutional neural networks

M Gil-Martin, R San-Segundo, A Mateos… - IEEE Aerospace and …, 2022 - ieeexplore.ieee.org
In this article, we propose and evaluate a deep learning architecture based on convolutional
neural networks for human stress detection using wearable sensors. This architecture has a …

Does cycling infrastructure reduce stress biomarkers in commuting cyclists? A comparison of five European cities

IP Teixeira, ANR da Silva, T Schwanen… - Journal of Transport …, 2020 - Elsevier
There is substantial evidence that the environment has an important impact on the use of
bicycles. Changes in the built environment, such as cycling infrastructure provision, usually …

A method for stress detection using empatica E4 bracelet and machine-learning techniques

S Campanella, A Altaleb, A Belli, P Pierleoni, L Palma - Sensors, 2023 - mdpi.com
In response to challenging circumstances, the human body can experience marked levels of
anxiety and distress. To prevent stress-related complications, timely identification of stress …

An interdisciplinary mixed-methods approach to analyzing urban spaces: The case of urban walkability and bikeability

B Resch, I Puetz, M Bluemke, K Kyriakou… - International Journal of …, 2020 - mdpi.com
Human-centered approaches are of particular importance when analyzing urban spaces in
technology-driven fields, because understanding how people perceive and react to their …

Corrnet: Fine-grained emotion recognition for video watching using wearable physiological sensors

T Zhang, A El Ali, C Wang, A Hanjalic, P Cesar - Sensors, 2020 - mdpi.com
Recognizing user emotions while they watch short-form videos anytime and anywhere is
essential for facilitating video content customization and personalization. However, most …