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 …

A review on mental stress assessment methods using EEG signals

R Katmah, F Al-Shargie, U Tariq, F Babiloni… - Sensors, 2021 - mdpi.com
Mental stress is one of the serious factors that lead to many health problems. Scientists and
physicians have developed various tools to assess the level of mental stress in its early …

EEG-based workers' stress recognition at construction sites

H Jebelli, S Hwang, SH Lee - Automation in Construction, 2018 - Elsevier
Taking into account that many construction workers suffer from excessive stress that
adversely impacts their safety and health, early recognition of stress is an essential step …

Machine learning framework for the detection of mental stress at multiple levels

AR Subhani, W Mumtaz, MNBM Saad, N Kamel… - IEEE …, 2017 - ieeexplore.ieee.org
Mental stress has become a social issue and could become a cause of functional disability
during routine work. In addition, chronic stress could implicate several psychophysiological …

Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals

A Anuragi, DS Sisodia, RB Pachori - Computers in Biology and Medicine, 2021 - Elsevier
Epilepsy is a neurological disorder that has severely affected many people's lives across the
world. Electroencephalogram (EEG) signals are used to characterize the brain's state and …

[PDF][PDF] A scoping review on monitoring mental health using smart wearable devices

N Long, Y Lei, L Peng, P Xu, P Mao - Math. Biosci. Eng, 2022 - aimspress.com
With the continuous development of the times, social competition is becoming increasingly
fierce, people are facing enormous pressure and mental health problems have become …

Modified support vector machine for detecting stress level using EEG signals

R Gupta, MA Alam, P Agarwal - Computational intelligence and …, 2020 - Wiley Online Library
Stress is categorized as a condition of mental strain or pressure approaches because of
upsetting or requesting conditions. There are various sources of stress initiation …

A novel approach for classification of mental tasks using multiview ensemble learning (MEL)

A Gupta, RU Khan, VK Singh, M Tanveer, D Kumar… - Neurocomputing, 2020 - Elsevier
Brain-computer interface (BCI) is a domain, in which a person can send information without
using any exterior nerve or muscles, just using their brain signal, called …

[HTML][HTML] A review of electroencephalogram signal processing methods for brain-controlled robots

Z Huang, M Wang - Cognitive Robotics, 2021 - Elsevier
Brain-computer interface (BCI) based on electroencephalogram (EEG) signals can provide a
way for human to communicate with the outside world. This approach is independent of the …

Discrimination of mental workload levels from multi-channel fNIRS using deep leaning-based approaches

TKK Ho, J Gwak, CM Park, JI Song - Ieee Access, 2019 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS), known as a non-invasive optical
neuroimaging technique, is currently used to assess brain dynamics during the performance …