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Synchronous brain machine interface design using focused time delay networks
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Focused time delay neural network based design for a
four-state Brain Machine Interface (BMI) to drive a wheelchair is
analyzed. Motor imagery signals recorded noninvasively using two
bipolar electrodes are used in the ...
Improving classification of EEG signals for a four-state brain machine interface
(Institute of Electrical and Electronics Engineers (IEEE), 2012)
Neural network classifiers are one among the popular modes in the design of classifiers for electroencephalograph based brain machine interfaces. This study presents algorithms to improve the classification performance of ...
Classification of EEG colour imagination tasks based BMI using energy and entropy features
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Electroencephalogram (EEG) signals are the
electrophysiological measures of brain function and it is used to
develop a brain machine interface. Brain machine interface
(BMI) system is used to provide a communication and ...
Brain machine interface for physically retarded people using colour visual tasks
(IEEE Conference Publications, 2010-05)
A Brain Machine Interface is a communication system which connects the human brain activity to an external device bypassing the peripheral nervous system and muscular system. It provides a communication channel for the ...
BMI using spectral energy entropy for colour visual tasks
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
EEG signals are the electrophysiological measures
of brain function and it is used to develop a Brain
machine Interface. A Brain machine Interface (BMI)
system is used to provide a communication and
control technology ...
Asynchronous brain machine interface-based control of a wheelchair
(Springerlink, 2011)
A brain machine interface (BMI) design for controlling the navigation of a power wheelchair is proposed. Real-time experiments with four able bodied subjects are carried out using the BMI-controlled wheelchair. The BMI is ...
Voiceless Voice : An Intelligent Communication System for Physically Retarded Communities
(Universiti Malaysia Perlis, 2010-01-07)
The Intelligent Voiceless communication is a device which can help the physically retarded peoples to communicate with the outside world by using their brain signals. Our product makes use of the active brain functions of ...
Brain machine interface based wheelchair control with minimal subject training
(Universiti Malaysia Perlis, 2009-10-11)
Wheelchair control using a Brain Machine Interface based on motor imagery requires adequate subject training. In this paper we propose a new algorithm for a brain machine
interface design which is implemented in real-time ...
Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks
(University of Basrah, 2008)
Brain machine interface provides a communication channel between the human brain and an
external device. Brain interfaces are studied to provide rehabilitation to patients with
neurodegenerative diseases; such patients ...
Functional link PSO neural network based classification of EEG mental task signals
(Institute of Electrical and Electronics Engineering (IEEE), 2008-08-26)
Classification of EEG mental task signals is a technique in the design of Brain machine interface [BMI]. A BMI can provide a digital channel for communication in the absence of the biological channels and are used to ...