Mental stress assessment in the workplace: a review

G Masri, F Al-Shargie, U Tariq… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Workers with demanding jobs are at risk of experiencing mental stress, leading to decreased
performance, mental illness, and disrupted sleep. To detect elevated stress levels in the …

Mouse dynamics behavioral biometrics: A survey

S Khan, C Devlen, M Manno, D Hou - ACM Computing Surveys, 2024 - dl.acm.org
Utilization of the Internet in our everyday lives has made us vulnerable in terms of privacy
and security of our data and systems. Therefore, there is a pressing need to protect our data …

[HTML][HTML] An interpretable machine learning approach to multimodal stress detection in a simulated office environment

M Naegelin, RP Weibel, JI Kerr, VR Schinazi… - Journal of Biomedical …, 2023 - Elsevier
Background and objective: Work-related stress affects a large part of today's workforce and
is known to have detrimental effects on physical and mental health. Continuous and …

[HTML][HTML] Assessment of perceived indoor environmental quality, stress and productivity based on environmental sensor data and personality categorization

J Kallio, E Vildjiounaite, J Koivusaari, P Räsänen… - Building and …, 2020 - Elsevier
Indoor environmental quality (IEQ) has an influence on peoples' health, cognitive
performance and productivity in school and office environments. This study used …

Intrusion detection using mouse dynamics

M Antal, E Egyed‐Zsigmond - IET Biometrics, 2019 - Wiley Online Library
Compared to other behavioural biometrics, mouse dynamics is a less explored area.
General purpose data sets containing unrestricted mouse usage data are usually not …

New methods for stress assessment and monitoring at the workplace

D Carneiro, P Novais, JC Augusto… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The topic of stress is nowadays a very important one, not only in research but on social life in
general. People are increasingly aware of this problem and its consequences at several …

Application of entropy-based metrics to identify emotional distress from electroencephalographic recordings

B García-Martínez, A Martínez-Rodrigo… - Entropy, 2016 - mdpi.com
Recognition of emotions is still an unresolved challenge, which could be helpful to improve
current human-machine interfaces. Recently, nonlinear analysis of some physiological …

Challenges of learning human digital twin: Case study of mental wellbeing: Using sensor data and machine learning to create HDT

E Vildjiounaite, J Kallio, J Kantorovitch… - Proceedings of the 16th …, 2023 - dl.acm.org
Human Digital Twin (HDT) is a powerful tool to create a virtual replica of a human, to be
used for example for designing interactions with physical systems, preventing cognitive …

Toward modernization of geriatric oncology by digital health technologies

A Shahrokni, KP Loh, WA Wood - American Society of Clinical …, 2020 - ascopubs.org
The number of older adults with cancer is increasing. Over the past 3 decades, geriatric
oncology research has focused on improving the assessment of frailty and fitness of older …

Nonlinear predictability analysis of brain dynamics for automatic recognition of negative stress

B García-Martínez, A Martínez-Rodrigo… - Neural Computing and …, 2020 - Springer
Negative stress, also named distress, is nowadays one of the most studied emotional states
due to its high impact on advanced societies. Its automatic identification from physiological …