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Damage detection in steel plates using discrete cosine transformation techniques and artificial neural network
(Universiti Malaysia Perlis, 2009-10-11)
In this paper, a simple method for crack identification in steel plates based on the Frame Energy based Discrete Cosine
Transformation [DCT] moments is presented. A simple experimental procedure is also proposed to measure ...
Determination of stress index: approach and challenges
(Universiti Malaysia Perlis, 2009-10-11)
This paper discusses the preliminary study
of stress detection towards determination of stress index through qualitative and quantitative evaluation of physical and psychological during stress. Awareness
of stress effect ...
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 ...
A speech recognition system for Malaysian English pronunciation using Neural Network
(Universiti Malaysia Perlis, 2009-10-11)
The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and
its sub-group to another. In this paper, an automatic vowel classification system based on linear predictive ...
Brain machine interface: A comparison between fuzzy and neural classifiers
(ICIC International, 2009)
Patients with neurodegenerative disease loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is through a brain machine ...
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 ...
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 ...