Methods of EEG Signal Features Extraction Using Linear Analysis in Frequency and Time‐Frequency Domains
AS Al-Fahoum, AA Al-Fraihat - … Scholarly Research Notices, 2014 - Wiley Online Library
Technically, a feature represents a distinguishing property, a recognizable measurement,
and a functional component obtained from a section of a pattern. Extracted features are …
and a functional component obtained from a section of a pattern. Extracted features are …
Application of BCI systems in neurorehabilitation: a sco** review
M Bamdad, H Zarshenas, MA Auais - Disability and Rehabilitation …, 2015 - Taylor & Francis
Purpose: To review various types of electroencephalographic activities of the brain and
present an overview of brain–computer interface (BCI) systems' history and their …
present an overview of brain–computer interface (BCI) systems' history and their …
Hybrid brain/muscle signals powered wearable walking exoskeleton enhancing motor ability in climbing stairs activity
The powered exoskeleton promises substantial improvements on daily activities of the
people who need robots provide assistance. In order to achieve flexible and stable control of …
people who need robots provide assistance. In order to achieve flexible and stable control of …
Adaptive neural control of a kinematically redundant exoskeleton robot using brain–machine interfaces
In this paper, a closed-loop control has been developed for the exoskeleton robot system
based on brain-machine interface (BMI). Adaptive controllers in joint space, a redundancy …
based on brain-machine interface (BMI). Adaptive controllers in joint space, a redundancy …
SVM-based brain–machine interface for controlling a robot arm through four mental tasks
Abstract Human–Machine Interfaces can be very useful to improve the quality of life of
physically impaired users. In this work, a non-invasive spontaneous Brain–Machine …
physically impaired users. In this work, a non-invasive spontaneous Brain–Machine …
Motor-imagery-based teleoperation of a dual-arm robot performing manipulation tasks
Y Liu, W Su, Z Li, G Shi, X Chu, Y Kang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes a brain–computer interface (BCI)-based teleoperation strategy for a
dual-arm robot carrying a common object by multifingered hands. The BCI is based on motor …
dual-arm robot carrying a common object by multifingered hands. The BCI is based on motor …
An introductory tutorial on brain–computer interfaces and their applications
The prospect and potentiality of interfacing minds with machines has long captured human
imagination. Recent advances in biomedical engineering, computer science, and …
imagination. Recent advances in biomedical engineering, computer science, and …
Factors influencing students' adoption intention of brain–computer interfaces in a game-learning context
YM Wang, CL Wei, MW Wang - Library Hi Tech, 2023 - emerald.com
Purpose A research framework that explains adoption intention in students with regard to
brain–computer interface (BCI) games in the learning context was proposed and empirically …
brain–computer interface (BCI) games in the learning context was proposed and empirically …
Electroencephalogram subject identification: A review
This is, to the best of the authors knowledge, the first complete research on the state of the
art on EEG based subject identification. As well as covering the full story of this field (from …
art on EEG based subject identification. As well as covering the full story of this field (from …
Deep learninig of EEG signals for emotion recognition
Emotion recognition is an important task for computer to understand the human status in
brain computer interface (BCI) systems. It is difficult to perceive the emotion of some …
brain computer interface (BCI) systems. It is difficult to perceive the emotion of some …