[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 …
[HTML][HTML] A review of EEG signal features and their application in driver drowsiness detection systems
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …
is often approached using neurophysiological signals as the basis for building a reliable …
Advanced internet of things for personalised healthcare systems: A survey
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a
new research topic in many academic and industrial disciplines, especially in healthcare …
new research topic in many academic and industrial disciplines, especially in healthcare …
Empirical study of landscape types, landscape elements and landscape components of the urban park promoting physiological and psychological restoration
Urban parks have been found to benefit human health and well-being. Many studies have
addressed the relationship between spatial characteristics and health restoration, but little …
addressed the relationship between spatial characteristics and health restoration, but little …
[HTML][HTML] Influence of fragrances on human psychophysiological activity: With special reference to human electroencephalographic response
K Sowndhararajan, S Kim - Scientia pharmaceutica, 2016 - mdpi.com
The influence of fragrances such as perfumes and room fresheners on the
psychophysiological activities of humans has been known for a long time, and its …
psychophysiological activities of humans has been known for a long time, and its …
Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers
L Chen, Y Zhao, P Ye, J Zhang, J Zou - Expert Systems with Applications, 2017 - Elsevier
Monitoring driving status has great potential in helping us decline the occurrence probability
of traffic accidents and the aim of this research is to develop a novel system for driving stress …
of traffic accidents and the aim of this research is to develop a novel system for driving stress …
Driver mental fatigue detection based on head posture using new modified reLU-BiLSTM deep neural network
Early detection of driver mental fatigue is one of the active areas of research in smart and
intelligent vehicles. There are various methods, based on measuring the physiological …
intelligent vehicles. There are various methods, based on measuring the physiological …
Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches
Introduction: Drowsiness is one of the main contributors to road-related crashes and
fatalities worldwide. To address this pressing global issue, researchers are continuing to …
fatalities worldwide. To address this pressing global issue, researchers are continuing to …
Methodology and mobile application for driver behavior analysis and accident prevention
This paper presents a methodology and mobile application for driver monitoring, analysis,
and recommendations based on detected unsafe driving behavior for accident prevention …
and recommendations based on detected unsafe driving behavior for accident prevention …
Passive BCI based on drowsiness detection: an fNIRS study
We use functional near-infrared spectroscopy (fNIRS) to discriminate the alert and drowsy
states for a passive brain-computer interface (BCI). The passive brain signals for the drowsy …
states for a passive brain-computer interface (BCI). The passive brain signals for the drowsy …