Wearable sensing technology applications in construction safety and health
The advent of wearable sensing technologies has produced unprecedented opportunities
for the near real-time collection and analysis of workers' safety and health data. To …
for the near real-time collection and analysis of workers' safety and health data. To …
[HTML][HTML] Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis
LE Ismail, W Karwowski - Plos one, 2020 - journals.plos.org
Background Neuroergonomics combines neuroscience with ergonomics to study human
performance using recorded brain signals. Such neural signatures of performance can be …
performance using recorded brain signals. Such neural signatures of performance can be …
Measuring workers' emotional state during construction tasks using wearable EEG
Construction workers' emotional states (eg, pleasure, displeasure, excitement, and
relaxation) are known as a critical factor that affect their performance (eg, safety, health, and …
relaxation) are known as a critical factor that affect their performance (eg, safety, health, and …
[HTML][HTML] Convolutional neural network for drowsiness detection using EEG signals
S Chaabene, B Bouaziz, A Boudaya, A Hökelmann… - Sensors, 2021 - mdpi.com
Drowsiness detection (DD) has become a relevant area of active research in biomedical
signal processing. Recently, various deep learning (DL) researches based on the EEG …
signal processing. Recently, various deep learning (DL) researches based on the EEG …
EEG signal-processing framework to obtain high-quality brain waves from an off-the-shelf wearable EEG device
Investigating brain waves collected by an electroencephalogram (EEG) can be useful in
understanding human psychosocial conditions such as stress, emotional exhaustion …
understanding human psychosocial conditions such as stress, emotional exhaustion …
Multi-class classification of construction hazards via cognitive states assessment using wearable EEG
Improving workers' safety and health is one of the most critical issues in the construction
industry. Research attempts have been made to better identify construction hazards on a …
industry. Research attempts have been made to better identify construction hazards on a …
Feasibility study to identify brain activity and eye-tracking features for assessing hazard recognition using consumer-grade wearables in an immersive virtual …
Hazard recognition is vital to achieving effective safety management. Unmanaged or
unrecognized hazards on construction sites can lead to unexpected accidents. Recent …
unrecognized hazards on construction sites can lead to unexpected accidents. Recent …
A continuously updated, computationally efficient stress recognition framework using electroencephalogram (EEG) by applying online multitask learning algorithms …
Recognizing the factors that cause stress is a crucial step toward early detection of stressors.
In this regard, several studies make an effort to recognize individuals' stress using an …
In this regard, several studies make an effort to recognize individuals' stress using an …
Emotion recognition in conversations using brain and physiological signals
N Saffaryazdi, Y Goonesekera, N Saffaryazdi… - … on Intelligent User …, 2022 - dl.acm.org
Emotions are complicated psycho-physiological processes that are related to numerous
external and internal changes in the body. They play an essential role in human-human …
external and internal changes in the body. They play an essential role in human-human …
[HTML][HTML] Novel approach for emotion detection and stabilizing mental state by using machine learning techniques
NV Kimmatkar, BV Babu - Computers, 2021 - mdpi.com
The aim of this research study is to detect emotional state by processing
electroencephalography (EEG) signals and test effect of meditation music therapy to …
electroencephalography (EEG) signals and test effect of meditation music therapy to …