[HTML][HTML] Ergonomic human-robot collaboration in industry: A review
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 …
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
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 …
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 …
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
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 …
Currently, mental illness among young people is a global epidemic, and rates of disorders …
An online framework for cognitive load assessment in industrial tasks
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 …
changing the role played by humans in the production chain. Research on ergonomics in …
Human stress detection with wearable sensors using convolutional neural networks
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 …
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
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 …
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
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 …
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
Human-centered approaches are of particular importance when analyzing urban spaces in
technology-driven fields, because understanding how people perceive and react to their …
technology-driven fields, because understanding how people perceive and react to their …
Corrnet: Fine-grained emotion recognition for video watching using wearable physiological sensors
Recognizing user emotions while they watch short-form videos anytime and anywhere is
essential for facilitating video content customization and personalization. However, most …
essential for facilitating video content customization and personalization. However, most …