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Now showing items 11-17 of 17
Brain machine interface: A comparison between fuzzy and neural classifiers
(ICIC International, 2009)
Patients with neurodegenerative disease loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is through a brain machine ...
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 ...
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 ...
Vowel recognition based on frequency ranges determined by bandwidth approach
(Institute of Eelectrical and Electronics Engineering (IEEE), 2009-07)
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 ...
Japanese face emotions classification using lip features
(Institute of Electrical and Electronics Engineering (IEEE), 2007)
In this paper, lip features are applied to classify the human emotion using a set of irregular ellipse fitting equations using Genetic algorithm. As Japanese, is considered in this study. All six universally accepted ...
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, ...
Personalized face emotion classification using optimized data of three features
(Institute of Electrical and Electronics Engineering (IEEE), 2007)
In this paper, lip and eye features are applied to classify the human emotion through a set of irregular and regular ellipse fitting equations using Genetic algorithm (GA). South East Asian face is considered in this study. ...