The aim of this research is to recognize facial expression in Human Computer Interaction using artificial neural network. The objectives are to: 

• Collect images of different facial expressions.    
• Extract the features in the images.
• Train the system with the extracted features using ANN

This scope of this research is to detect human facial expression into emotion which can be sad, happy, surprise or neutral using ANN. The classification will be done by training the system with the features extracted from different facial expression images. This proposed system is limited to the following:      

•  Detection of four main basic facial expressions (happy, sad, surprise and neutral).    

• Detection of only human being facial expressions.    
• Detection of only 2 dimensional (2D) images.    
• Non-classification of images where the human uses eyeglasses or any item on the face.     
•  Capturing of only one sample during image acquisition phase for each testing conducted.

 
The Computer System used for this is research have windows 8.1 (64bit) as its operating system with intel Pentium (R) processor of 2.16GHz processing speed and installed memory (RAM) of 4GB.
The software used for the implementation of this research is MATLAB.  MATLAB is used to implement the Viola-Jones algorithm and the Image tool and Neural Network tool boxes are used for reading the images and training the system respectively; it’s also used to design the interface and used to code other part of the program.

This research will be useful in the following ways:      

• Will assist medical Doctors in monitoring their patient emotion to know their stress level.   
•  Will be useful in identifying someone in Facial Recognition.     
• Will be useful in detecting criminals based on their facial Expression

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