Proceedings ArticleDOI
Design of a BCI System for Piloting a Wheelchair Using Five Class MI Based EEG
G. Reshmi,A. Amal +1 more
- pp 25-28
TLDR
In this work the motor imagery EEG signal is translated into control signal using a five class BCI to control the directional movement of a wheelchair.Abstract:
Motor imagery is the recreation of a motor activity which can be used to design Brain Computer Interfaces (BCI). A BCI bypasses the neuromuscular system and provides a communication link, which directly connects the human brain to an external device. Each individual is able to control his EEG through imaginary motor act it supports to control devices. In this work for designing a BCI system five class motor imagery EEG is used. EEG recorded from the sensory motor cortex is analyzed using wavelet transform. Features extracted from the wavelet coefficients are classified using Support Vector Machine. In this work the motor imagery EEG signal is translated into control signal using a five class BCI to control the directional movement of a wheelchair.read more
Citations
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Journal ArticleDOI
A Prototype SSVEP Based Real Time BCI Gaming System
TL;DR: The typical architecture, paradigms, requirements, and limitations of electroencephalogram-based gaming systems are discussed, and a prototype three-class brain-computer interface system, based on the steady state visually evoked potentials paradigm and the Emotiv EPOC headset is developed.
Journal ArticleDOI
A review of disability EEG based wheelchair control system: Coherent taxonomy, open challenges and recommendations.
TL;DR: The background of recent studies on wheelchair control based on BCI for disability and map the literature survey into a coherent taxonomy is determined to provide researchers and developers with a clear understanding of this platform and highlight the challenges and gaps in the current and future studies.
Journal ArticleDOI
A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled
Xin Wan,Kezhong Zhang,Seshadri Ramkumar,J. Deny,G. Emayavaramban,M. Siva Ramkumar,Ahmed Faeq Hussein +6 more
TL;DR: The history of EEG, electrode placements with measurements, and signal ranges are dealt with, and some of the prominent studies completed in designing BCI using EEG are discussed.
Journal ArticleDOI
Brain Computer Interface for Neurodegenerative Person Using Electroencephalogram
Li Junwei,Seshadri Ramkumar,G. Emayavaramban,D. Franklin Vinod,M. Thilagaraj,V. Muneeswaran,M. Pallikonda Rajasekaran,V. Venkataraman,Ahmed Faeq Hussein +8 more
TL;DR: This paper uses band power and radial basis function to analyze the signal for four mentally composed tasks to design four states BCI for a neurodegenerative person using EEG and proves that control commands generated from the EEG signal have the bcapacity to control the intelligent systems.
Proceedings ArticleDOI
Development of an Autonomous BCI Wheelchair
TL;DR: In this study, subjects used a steady state visual evoked potential based BCI to select a desired destination that was communicated to the wheelchair navigation system that controlled the wheelchair autonomously avoiding obstacles on the way to the destination.
References
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Journal ArticleDOI
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Book
Event-Related Desynchronization
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Proceedings ArticleDOI
EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game
TL;DR: An overview of a multistage signal processing framework to tackle the main challenges in continuous control protocols for motor imagery based synchronous and self-paced BCIs and a new BCI-based game training paradigm which enables assessment of continuous control performance is introduced.
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