Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Brain computer interfaces (BCI) provide a direct communication link between the brain and a
computer or other external devices. They offer an extended degree of freedom either by …

To build a low‐cost, small, and wireless electroencephalogram (EEG) system suitable for
field recordings, we merged consumer EEG hardware with an EEG electrode cap. Auditory …

In this paper, we review the state-of-the-art technologies for driver inattention monitoring,
which can be classified into the following two main categories: 1) distraction and 2) fatigue …

Wireless electroencephalography (EEG) systems have been attracting increasing attention
in recent times. Both the number of articles discussing wireless EEG and their proportion …

Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Many
physiological signals have been proposed to detect driver drowsiness. Among these …

Brain–computer interface (BCI) technology has been studied with the fundamental goal of
helping disabled people communicate with the outside world using brain signals. In …

Cortical brain areas and dynamics evolved to organize motor behavior in our three-
dimensional environment also support more general human cognitive processes. Yet …

A novel dry foam-based electrode for long-term EEG measurement was proposed in this
study. In general, the conventional wet electrodes are most frequently used for EEG …

Significant advances in embedded technologies hold promise to characterize and monitor
driver's state of alertness and detect critical levels of driver drowsiness in real-time. While …