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Multi-classifier system for moving vehicles classification based on spectral bands energy
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
Profoundly hearing impaired community cannot moderate wisely an acoustic noise emanated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from behind. ...
Classification of acoustic sound signature of moving vehicle using artificial neural network
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
The hearing impaired is afraid of walking along a street and living a life alone. Since, it is difficult for hearing impaired to hear and judge sound information and they often encounter risky situations while they are in ...
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 ...
Measuring the speech intelligibility of the sound reinforced classroom
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Classroom speech intelligibility has become one of the
main concerns in schools and other learning institutions
development nowadays. This is because the qualities of
student’s perceptions towards teacher are essentials ...
Image quality assessment using Elman neural network model
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Measurement of visual quality is of fundamental
importance for numerous image and video processing
applications, where the goal of quality assessment algorithms is to
automatically assess the quality of images or videos ...
A phoneme based sign language recognition system using interleaving feature and neural network
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
A sign language is a language which, instead of
acoustically conveyed sound patterns, uses visually transmitted
sign patterns. Sign languages are commonly developed in hearing
impaired communities, which can include ...
Adaptive boosting with SVM classifier for moving vehicle classification
(Malaysian Technical Universities Network (MTUN), 2012-11-20)
This study examines co-solvent modified supercritical carbon dioxide (SC-CO2) to extract the saturated fatty acids from palm oil. The applied pressure was ranging from 60 to 180 bar and the extraction temperatures were ...
Moving vehicle identification using artificial neural network
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Hearing impaired people cannot distinguish the sound
from a moving vehicle approaching from their behind. They often
face a risky situation while they are in outdoors. In this paper, a
simple algorithm is proposed to ...