عنوان المقالة:Controlling Power-assisted Wheelchair Movements by using LDA Classifier
مصطفى محمود صبري | Mustafa Mahmood Sabry | 4233
Publication Type
Journal
Arabic Authors
Hayder A. Azeez, Norasmadi Abdul Rahim, Muhammad Juhairi Aziz bin safar, Mustafa M. sabry
Abstract
The main aim of this paper is to present a controlling method for the movements of the wheelchair in a different direction: forward, backward, right side, left side, and stop condition. This method depended on the electrical signals of the muscles that are collected from the masseter and buccinators muscles by using the Electromyogram (EMG). After recorded the EMG signals from the muscles extracted the features of autoregressive model (AR model) and classify it by using Linear Discriminant Analysis (LDA) classifier then used it as a control signals for controlling the movements of the wheelchair, where the maximum rate accuracy of classification was 87.75.
Publication Date
7/1/2016
Publisher
Seventh Sense Research Group
File Link
تحميل (170 مرات التحميل)
Keywords
Autoregressive model,Electromyogram, Masseter Muscles, Buccinators Muscles, Linear Discriminant
رجوع