Human Digital Twin in the context of Industry 5.0
Human-centricity, a core value of Industry 5.0, places humans in the center of production. It
leads to the prioritization of human needs, spanning from health and safety to self …
leads to the prioritization of human needs, spanning from health and safety to self …
[HTML][HTML] Wireless EEG: A survey of systems and studies
The popular brain monitoring method of electroencephalography (EEG) has seen a surge in
commercial attention in recent years, focusing mostly on hardware miniaturization. This has …
commercial attention in recent years, focusing mostly on hardware miniaturization. This has …
Brain-computer interface: Advancement and challenges
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
EEG-based spatio–temporal convolutional neural network for driver fatigue evaluation
Driver fatigue evaluation is of great importance for traffic safety and many intricate factors
would exacerbate the difficulty. In this paper, based on the spatial-temporal structure of …
would exacerbate the difficulty. In this paper, based on the spatial-temporal structure of …
Fatigue monitoring through wearables: A state-of-the-art review
NR Adão Martins, S Annaheim, CM Spengler… - Frontiers in …, 2021 - frontiersin.org
The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …
health and safety as fatigue impairs cognitive and motor performance, thus reducing …
[HTML][HTML] A systemic review of available low-cost EEG headsets used for drowsiness detection
J LaRocco, MD Le, DG Paeng - Frontiers in neuroinformatics, 2020 - frontiersin.org
Drowsiness is a leading cause of traffic and industrial accidents, costing lives and
productivity. Electroencephalography (EEG) signals can reflect awareness and …
productivity. Electroencephalography (EEG) signals can reflect awareness and …
Towards the Internet of smart trains: A review on industrial IoT-connected railways
Nowadays, the railway industry is in a position where it is able to exploit the opportunities
created by the IIoT (Industrial Internet of Things) and enabling communication technologies …
created by the IIoT (Industrial Internet of Things) and enabling communication technologies …
Detection of train driver fatigue and distraction based on forehead EEG: a time-series ensemble learning method
Train driver fatigue and distraction are the main reasons for railway accidents. One of the
new technologies to monitor drivers is by using the EEG signals, which provides vital signs …
new technologies to monitor drivers is by using the EEG signals, which provides vital signs …
Application of artificial intelligence techniques for brain-computer interface in mental fatigue detection: a systematic review (2011-2022)
Mental fatigue is a psychophysical condition with a significant adverse effect on daily life,
compromising both physical and mental wellness. We are experiencing challenges in this …
compromising both physical and mental wellness. We are experiencing challenges in this …
Sensor applications and physiological features in drivers' drowsiness detection: A review
A Chowdhury, R Shankaran, M Kavakli… - IEEE sensors …, 2018 - ieeexplore.ieee.org
Drowsiness in drivers has become a serious cause of concern due to the occurrences of a
large number of fatalities on the road each year. Lives of pedestrians and passengers are …
large number of fatalities on the road each year. Lives of pedestrians and passengers are …