%0 Journal Article
%T Human Facial Expression Detection From Detected in Captured Image using Back Propagation Neural Network
%A Jagdish Lal Raheja
%A Umesh Kumar
%J International Journal of Computer Science & Information Technology
%D 2010
%I Academy & Industry Research Collaboration Center (AIRCC)
%X In the field of image processing it is very interesting to recognize the human gesture for general lifeapplications. For example, observing the gesture of a driver when he/she is driving and alerting him/herwhen in sleepy mood will be quite useful. Human gestures can be identified by observing the differentmovements of eyes, mouth, nose and hands. In this paper we are focusing on the human face forrecognizing expression. Many techniques are available to recognize face. In this paper, face is detectedusing the Viola and Jones techniques. This paper introduces a simple architecture for human facialexpression recognition. The approach is based on add-boosted classifier for face detection and simpletoken finding and matching using back propagation neural network. This approach can be adapted toreal time system very easily. The paper briefly describes the schemes of capturing the image from webcam, detecting the face, processing the image to recognize the gestures as well as few results.
%K Add boosted classifier
%K edge detection
%K face detection
%K gesture recognition
%K neural network
%K token detection
%U http://airccse.org/journal/jcsit/0210ijcsit10.pdf