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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 ...
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 ...
Recognition of motor imagery of hand movements for a BMI using PCA features
(Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)
Motor imagery is the mental simulation of a motor act that includes preparation for movement and mental operations of motor representations implicitly or explicitly. The ability of an individual to control his EEG through ...
Intelligent vehicle fault diagnosis system using Neural Networks
(Universiti Teknologi Mara, 2007-03-09)
Diagnosis has become a very complex and critical task in determining the condition of vehicle engine. Sound emitted by the engine is always considered to be an annoying noise but a detaiedl analysis of the sound signal ...
Malaysian vowel recognition based on spectral envelope using bandwidth approach
(Institute of Electrical and Electronics Engineering (IEEE), 2009-05-25)
Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice. In this paper, a new feature extraction ...
Brain machine interface: motor imagery recognition with different signal length representations
(Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
This work investigates how signal representations affect the performance of a motor imagery recognition system, specifically we investigate on recognition accuracy and computational time of a brain machine interface designed ...
Single trial motor imagery classification for a four state brain machine interface
(Institute of Electrical and Electronics Engineering (IEEE), 2009-03-06)
Motor imagery is the mental simulation of a motor act which can be used to design brain machine interfaces [BMI]. A BMI is a digital communication system, which connects the human brain directly to an external device ...
Neuro-Fuzzy based motor imagery classification for a four class brain machine interface
(Universiti Malaysia Perlis, 2009-10-11)
Brain Machine Interface (BMI) provides a digital link between the brain and a device such as a computer, robot or wheelchair. This paper presents a BMI design using Neuro-Fuzzy classifiers for controlling a wheelchair using ...
PID and adaptive predictive fuzzy logic controller for a micro-satellite
(Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)
In this paper a simple Adaptive Predictive Fuzzy Logic Controller is developed for the attitude control of a micro-satellite; its performance is compared with a PID controller. PID controller is the most widely used among ...
Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2007-11-25)
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 ...