• Vineet Kumar Singh
• Shivani Kumar
• Monica Sehrawat

The most important cognitive function that our brain effectively does is detecting and interpret face and facial expressions during communication or any specific scenario with minimal or no hassle. With the boom in artificial intelligence systems and machine learning in recent years has led to development of various intelligent systems which can itself learn and extract knowledge from the variety of data fed to the systems This led to the emergence of intelligent systems which can learn, identify and understand human emotion via verbal communication i.e. Speech or Text or non-verbal communication i.e. Facial expression and body language. The goal is to develop a facial emotion recognition model which can understand human facial expressions and detect the mood and mind state of a person based on input data. It uses the concept of computer vision and machine learning to identify the emotions of the person based on his/her facial expression.

Face, Emotion, Facial, Recognition, Eyes, Nose, Ears, Lips, Expression, Adaboost, Histogram of gradients, HOG Vector, Viola Jones, Haar features.

"A LITERATURE SURVEY ON FACIAL EMOTION RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.173-176, April-2019, Available :http://www.jetir.org/papers/JETIR1904P30.pdf

"A LITERATURE SURVEY ON FACIAL EMOTION RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp173-176, April-2019, Available at : http://www.jetir.org/papers/JETIR1904P30.pdf