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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 ...
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 ...
Classification of vehicle noise comfort level using feedforward neural network
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)