• Arifullah Arif

The purpose of this paper is to present the needs and applications of facial expression recognition. Expression detection is useful as a non-invasive method of detecting lying and predicting behavior. However, it may be difficult to detect these facial expressions for the untrained eye. In this paper, we implement facial expression recognition techniques using the main component analysis (PCA). The six basic, universally accepted sentiments that must be recognized are: anger, happiness, sadness, disgust, fear and surprise along with neutrality. Euclidean distance based matching Classifier is used. Between verbal and nonverbal form of communication Facial expression is a form of nonverbal communication but plays a central role. It expresses a human perspective or fills its mental state. This paper provides an introduction to facial emotion recognition and application, a comparative study of popular face recognition techniques and phases of the automatic face recognition system.

Facial Expression, PCA, Euclidean Distance, MATLAB-2013.

"A Novel Technique for Facial Expression Using Feature Extraction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.121-126, June 2019, Available :http://www.jetir.org/papers/JETIR1906Z17.pdf

"A Novel Technique for Facial Expression Using Feature Extraction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp121-126, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Z17.pdf