• Dhanya M
• Dr. Vandana S Bhat
• Shrinidhi Joshi
• Kavya M Hiregoudar
• Nandita V Hiremath

Facial expression recognition or computer-based facial expression recognition system is important because of its ability to mimic human coding skills. Facial expressions and other gestures convey nonverbal communication cues that play an important role in interpersonal relations. These cues complement speech by helping the listener to interpret the intended meaning of spoken words. Therefore, facial expression recognition, because it extracts and analyses information from an image or video feed, it is able to deliver unfiltered, unbiased emotional responses as data. Different approaches i.e., Haar cascade, VGG-16 CNN Model, OpenCV, Viola Jones etc. are studied in this paper to conclude which paper is feasible. Face Detection is the first and essential step for face recognition, and it is used to detect faces in the images. It is a part of object detection and can use in many areas such as security, bio-metrics, law enforcement, entertainment, personal safety, etc.

Viola Jones, OpenCV, Haar cascade Convolutional Neural Network, VGG – 16 Model.

"REVIEW ON LITERATURE SURVEY ON FACE DETECTION AND EMOTION RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.b236-b240, June-2022, Available :http://www.jetir.org/papers/JETIR2206132.pdf

"REVIEW ON LITERATURE SURVEY ON FACE DETECTION AND EMOTION RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppb236-b240, June-2022, Available at : http://www.jetir.org/papers/JETIR2206132.pdf