Electroencephalogram (EEG)-based brain–computer interfaces (BCIs) provide a novel
approach for controlling external devices. BCI technologies can be important enabling …

Smart wheelchairs based on brain–computer interface (BCI) have been widely utilized
recently to address certain mobility problems for people with disability. In this paper, we …

Nowadays, Electroencephalogram (EEG) signals are widely used in brain-computer
interfaces (BCIs), including the identification of motor imagery (MI) activities and prostheses …

This paper aims at developing a smart wheelchair that uses EEG signals captured from
disabled persons to operate the wheelchair. Interfacing the computer with the brain can be …

Many disabled people are not suitable for the control of the current mainstream manual
joystick-controlled wheelchair, so the study of new control methods can provide …

People suffering from severe infirmities mostly rely on power wheelchairs to move around. It
becomes more important to monitor our loved ones for their health and safety especially …

Brain computer interface (BCI) is a protocol to communicate between the human brain and a
device or application using brain signals. These signals translated to useful commands by …

In this research work, a novel eye-blink detection model is developed. The proposed eye
blink detection model is modeled by following seven major phases:(a) video–to-frame …

The Personal Identification Number (PIN) are commonly employed as a security measure for
authentication purposes. When utilizing a PIN for verification of authentication, the users are …

In some research fields finding the suitable data to be used in testing and validating the
methods is a very important step. Sometimes the researcher cannot find the exact dataset …