عنوان المقالة:Controlling Power-assisted Wheelchair Movements by using LDA Classifier
مصطفى محمود صبري | Mustafa Mahmood Sabry | 4161
نوع النشر
مجلة علمية
المؤلفون بالعربي
Hayder A. Azeez, Norasmadi Abdul Rahim, Muhammad Juhairi Aziz bin safar, Mustafa M. sabry
الملخص العربي
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.
تاريخ النشر
01/07/2016
الناشر
Seventh Sense Research Group
رابط الملف
تحميل (170 مرات التحميل)
الكلمات المفتاحية
Autoregressive model,Electromyogram, Masseter Muscles, Buccinators Muscles, Linear Discriminant
رجوع