[HTML][HTML] A review on evaluating mental stress by deep learning using EEG signals
Mental stress is a common problem that affects individuals all over the world. Stress reduces
human functionality during routine work and may lead to severe health defects. Early …
human functionality during routine work and may lead to severe health defects. Early …
[HTML][HTML] Emotional well-being in urban wilderness: Assessing states of calmness and alertness in informal green spaces (IGSs) with muse—Portable EEG headband
In this experiment, we operated within the novel research area of Informal Green Spaces
(often called green wastelands), exploring emotional well-being with the employment of …
(often called green wastelands), exploring emotional well-being with the employment of …
Toward soft real-time stress detection using wrist-worn devices for human workspaces
Continuous exposure to stress leads to many health problems and substantial economic
loss in companies. A lot of attention has been given to the development of wearable systems …
loss in companies. A lot of attention has been given to the development of wearable systems …
[HTML][HTML] Posttraumatic stress disorder hyperarousal event detection using smartwatch physiological and activity data
Posttraumatic Stress Disorder (PTSD) is a psychiatric condition affecting nearly a quarter of
the United States war veterans who return from war zones. Treatment for PTSD typically …
the United States war veterans who return from war zones. Treatment for PTSD typically …
[HTML][HTML] Non-contact-based driver's cognitive load classification using physiological and vehicular parameters
Classification of cognitive load for vehicular drivers is a complex task due to underlying
challenges of the dynamic driving environment. Many previous works have shown that …
challenges of the dynamic driving environment. Many previous works have shown that …
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 …
Excessive stress can have deleterious effects on the health, brain, mind, and nervous …
Physiological-based smart stress detector using machine learning algorithms
This paper is focused on the development of an intelligent system to identify if one person is
stress or not stress using physiological parameters through machine learning. In this study …
stress or not stress using physiological parameters through machine learning. In this study …
Stress influence on real-world driving identified by monitoring heart rate variability and morphologic variability of electrocardiogram signals: the case of intercity roads
S Rostamzadeh, A Abouhossein… - … of occupational safety …, 2024 - Taylor & Francis
Objectives. This study examines which of the heart rate variability (HRV) and morphologic
variability (MV) metrics may have the highest accuracy in different stress detection during …
variability (MV) metrics may have the highest accuracy in different stress detection during …
A combined motion-audio school bullying detection algorithm
L Ye, P Wang, L Wang, H Ferdinando… - … Journal of Pattern …, 2018 - World Scientific
School bullying is a common social problem, which affects children both mentally and
physically, making the prevention of bullying a timeless topic all over the world. This paper …
physically, making the prevention of bullying a timeless topic all over the world. This paper …
A review on ECG signal analysis for mental stress assessment
In current scenario, the mental stress is becoming an unavoidable part of our daily life
because of various social and professional responsibilities. In literature, various biomedical …
because of various social and professional responsibilities. In literature, various biomedical …