To develop facial expression control system by using image processing and neural network for the disability

The application of image processing and Neural Network for controlling an actuator or robot was developed and evaluated. The main objective of the system is to establish or create a system for the disability to use facial expressions to control an actuator to assist their daily activities which the group of people easily struggling with. By making use and capturing of the open and closed eyes and mouth motion, the data able to “train” Convolution Neural Network (CNN) models and Mouth Aspect Ratio (MAR) value. All the mentioned parameters had been evaluated together with a new proposed technique, which is named as “quantity” method. The result showed that the developed system is able to capture the actual and true expression of an individual accurately.