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Application-specific multichannel EEG data acquisition system for portable biomedical application
(Malaysian Technical Universities Network (MTUN), 2012-11-20)
This paper presents the design and construction of a low power application-specific EEG bio-potential multichannel
amplifier with high common mode rejection ratio (CMRR) and high input impedance. The bio-potential amplifier ...
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 ...
Moving vehicle recognition and classification based on time domain approach
(Malaysian Technical Universities Network (MTUN), 2012-11-20)
Differentially Hearing Ability Enabled (DHAE) community cannot discriminate the sound information from a moving vehicle approaching from their behind. This research work is mainly focused on recognition of different vehicles ...
Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks
(Malaysian Technical Universities Network (MTUN), 2012-11-20)
This paper discusses about the detection of damages present in the steel plates using nondestructive vibration testing. A simple experimental model has been developed to hold the steel plate complying with the simply ...
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 ...
Classification of speaker accent using hybrid DWT-LPC features and K-nearest neighbors in ethnically diverse Malaysian English
(IEEE Conference Publications, 2012-12)
Accent is a major cause of variability in automatic speaker-independent speech recognition systems. Under certain circumstances, this event introduces unsatisfactory performance of the systems. In order to circumvent this ...
Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model
(IEEE Conference Publications, 2012-10)
Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The growth of voice-controlled technologies has becoming part of our ...