الغاية من هذا المقال إلقاء الضوء على آلية و مراحل تصميم متحكم ضبابي عصبوني, يقوم بتحديد انتماء وجه مدخل إلى أي من تعابير الوجه الأربعة التالية و هي الفرح, الحزن, الغضب, و الخوف, و ذلك وفقا للنقاط المميزة في الوجه FCP المأخوذة من نصف الوجه, و المتعلقة بالعناصر الثلاث العين و الحاجب و نصف الفم, خلافا للدراسات المعهودة في هذا المجال الذي تعتمد على الوجه بالكامل.
The purpose of this article is to shed light on the mechanism
and the procedures of a neuro-fuzzy controller that classifies an
input face into any of the four facial expressions, which are
Happiness, Sadness, Anger and Fear. This program works
according to the facial characteristic points-FCP which is taken
from one side of the face, and depends, in contrast with some
traditional studies which rely on the whole face, on three
components: Eyebrows, Eyes and Mouth.
References used
RASOULZADEH M, 2012- Facial Expression recognition using Fuzzy Inference System. International Journal of Engineering and Innovative Technology (IJEIT) Volume 1, Issue 4, April 2012
EKMAN P, FRIESEN W, 1971- Constants across cultures in the face and emotion. Personality Social Psychol. 17 (2) pp.124– 129
EKMAN P, FRIESEN W, 1978- Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists Press, Palo Alto
The purpose of this article is to shed light on the mechanism
and the procedures of a program that classifies an input face into
any of the six basic facial expressions, which are Anger, Disgust,
Fear, Happiness, Sadness and Surprise, in addition
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