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Mean Threshold and ARNN Algorithms for Classification of EEG Commands


Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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Rs. 2,675

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  • Product Description

This book introduces two Autoregressive Neural Network (ARNN) and mean threshold methods for recognizing eye commands for control of an electrical wheelchair using Electroencephalogram (EEG) technology. Eye movements such as “eyes open”, “eyes blink”, “glancing left” and “glancing right” . A Hamming low pass filter was applied to remove artifacts of eye signals for extracting the frequency ranges. An AR model was employed to produce coefficients, containing features of the EEG eye signals. The coefficients obtained were inserted the input layer of a neural network model to classify the eye activities. In addition, a mean threshold algorithm was applied for classifying eye movements. In comparison of two recognition methods, the purpose was to find the better one for applying in the electrical wheelchair.

Product Specifications
SKU :COC53559
AuthorThanh Hai Nguyen
Number of Pages52
Publishing Year2014-07-09T00:00:00.000
Edition1 st
Book TypeMusic
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-06-08 00:00:00
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