Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …

Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …

One of the important requirements of a practical Brain Computer Interface (BCI) system is the
ability to establish multiple control commands corresponding to different kinematics of motor …

The common spatial pattern (CSP) is a very effective feature extraction method in motor
imagery based brain computer interface (BCI), but its performance depends on the selection …

Understanding mental processes in complex human behavior is a key issue in driving,
representing a milestone for developing user-centered assistive driving devices. Here, we …

This paper introduces a novel electroencephalogram (EEG) data classification scheme
together with its implementation in hardware using an innovative approach. The proposed …

Traffic situations like turning at intersections are destined for safety-critical situations and
accidents. Human errors are one of the main reasons for accidents in these situations. A …

Numerous investigations have been conducted to enhance the motor imagery-based brain–
computer interface (BCI) classification performance on various aspects. However, there are …

Our brain produces electrical signals when neurons communicate with each other. The
process of extracting that information of rich electrical activity through noninvasive …

Accurate decoding of brain intentions is a pivotal technology within Brain-Computer
Interface (BCI) systems that rely on Motor Imagery (MI). The effective extraction of …