We present data illustrating the effects of direct electrical stimulation on the spinal central pattern generator (CPG) for locomotion. Discrete current pulses were applied to isolated lamprey spinal cords during &quo...
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In this paper, we present an ANN hybrid ensemble scheme for simultaneous object recognition and pose estimation from 2D multiple-view image sequence, and realized human vision simulation within an intelligent machine....
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Image segmentation is kernel part of image analysis and processing. Fast and robust portrait segmentation and fusion is still a challenging problem by far. In this paper, we present two fast and robust methods to segm...
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In the present study an attempt was made to focus in the differences between Obsessive-Compulsive Disorder (OCD) patients and healthy controls, as reflected by the P600 component of event-related potential (ERP) signa...
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ISBN:
(纸本)0780387406
In the present study an attempt was made to focus in the differences between Obsessive-Compulsive Disorder (OCD) patients and healthy controls, as reflected by the P600 component of event-related potential (ERP) signals, to locate brain areas that may be related to Working Memory (WM) deficits. Neuropsychological research has yielded contradicting results regarding WM in OCD. Eighteen patients with OCD symptomatology and 20 normal controls (age and sex matched) were subjected to a computerized version of the digit span Wechsler test. EEG activity was recorded from 15 scalp electrodes (leads). A dedicated computer software was developed to read the ERP signals and to calculate features related to the ER-P P600 component (500-800 ms). Nineteen features were generated, from each ER-P-signal and each lead, and were employed in the design of the Probabilistic Neural Network (PNN) classifier. Highest single-lead precision (86.8%) was found at the Fp2 and C6 leads. When the output from all single-lead PNN classifiers fed a Majority Vote Engine (MVE), the system classified correctly all subjects, providing a powerful classification scheme. Findings indicated that OCD patients differed from normal controls at the prefrontal and temporo-central brain regions.
We propose a multiscale feature extraction method of finger-vein patterns based on wavelet and local interconnection structure neural *** finger-vein image is performed the multiscale self-adaptive enhancement transfo...
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ISBN:
(纸本)0780394224
We propose a multiscale feature extraction method of finger-vein patterns based on wavelet and local interconnection structure neural *** finger-vein image is performed the multiscale self-adaptive enhancement transform.A neural network with local interconnection structure is designed to extract the features of the finger-vein *** method has three features:Firstly,by applying the multiscale self-adaptive enhancement transform to the finger-vein image,the finger-vein pattern is emphasized and noises are ***,we use different receptive fields to deal with different size finger-rein *** and the multiscale property of the wavelet analysis lead to accurate extraction of different size finger-rein ***,our method is very fast by using the integral image *** experimental results show the proposed method is superior to other methods and solve the problem of extracting features from the unclear images *** EER of the proposed method is 0.130%in personal identification.
One of the intelligent aspects of human beings in patternrecognition is that man identifies an object in real world using Marked Characteristic Principle (MCP). This paper proposes a humanoid recognition method for r...
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The control of shoulder disarticulation prostheses remains a challenging problem. Recently, a novel method, using targeted muscle reinnervation to develop additional myoelectric control sites, has Improved the control...
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This paper presents a structured light pattern for moving objects sensing in dynamic scenes. The proposed binary pattern can be projected by laser illumination, which aims at eliminate the affect of ambient sunlight, ...
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