The research on driver fatigue detection is of great significance to improve driving safety.
This paper proposes a real-time comprehensive driver fatigue detection algorithm based on …

This study aimed to investigate clinical and physiological predictors of brain oscillatory
activity in patients with fibromyalgia (FM), assessing resting-state power, event-related …

To accurately and effectively analyze electroencephalogram (EEG) with high complexity,
large amount of data, and strong uncertainty, brain–computer interface (BCI) cognitive …

Background Frontal lobe injury (FLI) is related to cognitive control impairments, but the
influences of FLI on the internal subprocesses of cognitive control remain unclear. Aims We …

The accurate detection and alleviation of driving fatigue are of great significance to traffic
safety. In this study, we tried to apply the modified multi-scale entropy (MMSE) approach …

Primary insomnia (PI) manifesting as insufficient and non-restorative sleep disturbs the
function of central nervous system. Electroencephalogram (EEG), as a technique of …

The prevalence of road and highway accidents, largely attributed to driver distraction,
highlights the critical need for an intelligent system that can assess driver alertness and …

对驾驶员在驾驶过程中的疲劳状态进行实时准确的预判, 可减少由于驾驶疲劳引发的交通事故.
首先, 通过无线体域网采集了12 名驾驶员在真实驾驶过程中的多模态特征, 提取了脑电, 肌电 …

A thorough and comprehensive understanding of the human brain ultimately depends on
knowledge of large-scale brain organization. Although it has long been assumed that …

Анотація В даній роботі досліджено 3 різні алгоритми визначення втоми за допомо-гою
засобів комп'ютерного зору. Для захоплення відео та обличчя на ньому ви …