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EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces
(Association for the Advancement of Modelling & Simulation Techniques in Enterprises (A.M.S.E.), 2008)
The brain uses the neuromuscular channels to communicate and control its external environment, however many disorders can disrupt these channels. Amyotrophic lateral sclerosis is one such disorder which impairs the neural ...
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 ...
Overview of automatic stuttering recognition system
(Universiti Malaysia Perlis, 2009-10-11)
Stuttering is a speech disorder. The flow of speech is disrupted by involuntary repetitions and prolongation of sounds,
syllables, words or phrases, and involuntary silent pauses or blocks in communication. Stuttering is ...
Simultaneous localization and map building – a guided tour
(Universiti Malaysia Perlis, 2009-10-11)
Simultaneous Localization and Mapping (SLAM) has been one of the active research areas in robotic community for the past decade of years. SLAM addresses the problem of a robot navigating and building a map of an ...
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 ...
A preliminary study of noise effect on pulse rate, blood pressure and EEG signal
(Universiti Malaysia Perlis, 2009-10-11)
This paper presents the effect of noise to pulse rate, blood pressure and Encephalography (EEG) signal. The investigation aims to find the correlation between noise exposures to pulse rate (PR), blood pressure (BP) and EEG ...
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 ...
Motorbike engine faults diagnosing system using entropy and functional link neural network in wavelet domain
(Universiti Malaysia Perlis, 2009-10-11)
The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ...
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 ...
Vowel recognition based on frequency ranges determined by bandwidth approach
(Institute of Eelectrical and Electronics Engineering (IEEE), 2009-07)
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 ...