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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 ...
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 ...
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 ...
The Feasibility Study of Utilising Electronic Nose and ANN for Plant Malaise Detection
(Universiti Malaysia Perlis (UniMAP), 2008-03-15)
The agricultural industry has been,for a long time, dependent upon human expertise
in using odour for classification, grading,
differentiating and discriminating different typesof produce. Odour was also used to determine ...
Voiceless Voice : An Intelligent Communication System for Physically Retarded Communities
(Universiti Malaysia Perlis, 2010-01-07)
The Intelligent Voiceless communication is a device which can help the physically retarded peoples to communicate with the outside world by using their brain signals. Our product makes use of the active brain functions of ...
Bimodal Rehabilitation for the Voice and Movement Impaired using Brain Signals
(Universiti Malaysia Perlis, 2009-01-07)
The Bimodal Rehabilitation for the Voice and Movement Impaired using Brain Signals is a device which can help the paralyzed patients to communicate through a digital voice and also to drive a robot chair within their homes ...
A Biometric Authentication System Using Brain Signatures
(Universiti Malaysia Perlis, 2010-01-07)
The Biometric Authentication system comprises of an acquisition unit, a processing unit and a display unit. Signal Processing and Artificial Intelligence is used to process the brain signatures collected through EEG ...
Improved classification of Orthosiphon stamineus by data fusion of electronic nose and tongue sensors
(MDPI Publishing, 2010-09-28)
An improved classification of Orthosiphon stamineus using a data fusion technique is presented. Five different commercial sources along with freshly prepared samples were discriminated using an electronic nose (e-nose) and ...
Moving vehicle noise classification using backpropagation algorithm
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
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 ...
Classification of agarwood oil using an electronic nose
(MDPI Publishing, 2010-05-06)
Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (e-nose) may be ...