A review on mental stress detection using wearable sensors and machine learning techniques

S Gedam, S Paul - IEEE Access, 2021 - ieeexplore.ieee.org
Stress is an escalated psycho-physiological state of the human body emerging in response
to a challenging event or a demanding condition. Environmental factors that trigger stress …

Cloud server and internet of things assisted system for stress monitoring

R Singh, A Gehlot, M Rashid, R Saxena, SV Akram… - Electronics, 2021 - mdpi.com
Currently, the Internet of Things (IoT) has gained attention for its capability for real-time
monitoring. The advancement in sensor and wireless communication technology has led to …

Analysing IoT Data for Anxiety and Stress Monitoring: A Systematic Mapping Study and Taxonomy

LS Paula, L Pfeiffer Salomão Dias… - … Journal of Human …, 2024 - Taylor & Francis
Anxiety and stress are common emotional responses for human beings, but their chronic
manifestation can lead to physical and psychological illnesses. The advancement of sensing …

A speech emotion recognition solution-based on support vector machine for children with autism spectrum disorder to help identify human emotions

R Matin, D Valles - 2020 Intermountain Engineering …, 2020 - ieeexplore.ieee.org
Children who fall into the autism spectrum have difficulty communicating with others. In this
work, a speech emotion recognition model has been developed to help children with Autism …

Fusion fuzzy logic and deep learning for depression detection using facial expressions

AS Rajawat, P Bedi, SB Goyal, P Bhaladhare… - Procedia Computer …, 2023 - Elsevier
One of the critical issues in detecting depression is using facial expressions with image data
classification. In This research paper, we proposed Fusion Fuzzy Logic ((FFL) with deep …

Stress Detection with Deep Learning Using BVP and EDA Signals

E Eren, TS Navruz - 2022 International Congress on Human …, 2022 - ieeexplore.ieee.org
In daily life, a person is exposed to many negative factors and emotional states as arising
from financial difficulties, working life and personal responsibilities. The aim of this study is to …

A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate

P Mukherjee, A Halder Roy - Computer Methods in Biomechanics …, 2023 - Taylor & Francis
In today's world, people suffer from many fatal maladies, and stress is one of them.
Excessive stress can have deleterious effects on the health, brain, mind, and nervous …

Stress detection and monitoring based on low-cost mobile thermography

K Baran - Procedia Computer Science, 2021 - Elsevier
The high level of stress in modern life is one of the huge problems of the 21st century
society, especially in the context of the Covid-19 pandemic. With the pandemic, the need for …

Working hours, burnout and musculoskeletal discomfort in middle and senior management of Mexican industrial sector

S Macias-Velasquez, Y Baez-Lopez… - IEEE …, 2020 - ieeexplore.ieee.org
Work-related stress is one of the ten most frequent occupational health problems worldwide
and precedes a variety of serious mental disorders. It occurs when employees' capabilities …

[PDF][PDF] A non-linear SVR-based cascade model for improving prediction accuracy of biomedical data analysis

I Izonin, R Tkachenko, O Gurbych, M Kovac… - Math. Biosci …, 2023 - aimspress.com
Biomedical data analysis is essential in current diagnosis, treatment, and patient condition
monitoring. The large volumes of data that characterize this area require simple but accurate …