Stroke is a common worldwide health problem and a crucial contributor to gained disability.
The abilities of people, who are subjected to stroke, to live independently are significantly …

The proposed system had three stages in general, first stage was feature extraction, second
stage was training a machine learning algorithm and third stage was online feature …

Autism spectrum disorder (ASD) is a disorder in neurological growth, which includes
cognitive and behavioral impairment and it starts from infancy. However, the reason for ASD …

Abstract New Inverse Kinematic based Brain Computer Interface (IK-BCI) system was
proposed. the system performs aim selection intended by user through acquiring user's EEG …

Brain-computer interfaces (BCIs) have emerged as transformative tools for translating users'
neural signals into commands for external devices. The urgent need for innovative …

This work implements an Electroencephalogram (EEG) signal classifier. The implemented
method uses Orthogonal Polynomials (OP) to convert the EEG signal samples to moments …

Recently, algorithms of machine learning are widely used in the field of
electroencephalography (EEG)-Brain-Computer interfaces (BCI). In this paper, a sign …

Recently, algorithms of machine learning are widely used with the field of
electroencephalography (EEG) brain-computer interfaces (BCI). The preprocessing stage for …

A false statement made with the goal of tricking someone is called a lie. Given how little
there is to separate a falsehood from the truth, it can be difficult to tell the two apart. Lying …

Inverse Kinematics (IK) is a mathematical approach to compute joint angles of an arm based
on given position and orientation of the wrist in the space. This paper presents …