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Now showing items 11-20 of 21
Object localization using stereo sensors for adept SCARA robot
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
In this paper we present a stereo vision system for segmentation of partially occluded objects and computation of object grasping point in bin picking environments. The stereo vision system was interfaced with an Adept ...
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 ...
EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces
(Association for the Advancement of Modelling & Simulation Techniques in Enterprises (A.M.S.E.), 2008)
The brain uses the neuromuscular channels to communicate and control its external environment, however many disorders can disrupt these channels. Amyotrophic lateral sclerosis is one such disorder which impairs the neural ...
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 ...
Brain signatures: a modality for biometric authentication
(Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)
In this paper we investigate the use of brain signatures as a possible biometric authentication technique. Research on brain EEG signals has shown that individuals exhibit unique brain patterns for similar tasks. In this ...
PID and adaptive predictive fuzzy logic controller for a micro-satellite
(Institute of Electrical and Electronics Engineering (IEEE), 2008-12-01)
In this paper a simple Adaptive Predictive Fuzzy Logic Controller is developed for the attitude control of a micro-satellite; its performance is compared with a PID controller. PID controller is the most widely used among ...
Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2007-11-25)
Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ...
EEG classification using radial basis PSO neural network for brain machine interfaces
(Institute of Electrical and Electronics Engineering (IEEE), 2007-12)
Brain Machine Interfaces use the cognitive abilities of patients with neuromuscular disorders to restore communication and motor functions. At present, only EEG and related methods, which have relatively short time constants, ...