© 2021 JETIR June 2021, Volume 8, Issue 6 www.jetir.org (ISSN-2349-5162) JETIR2106764 Journal of Emerging Technologies and Innovative Research (JETIR) www.jetir.org f443 Emotion Recognition using AI Techniques: A Review Sonali Singh Sonali.singh8928@gmail.com Dr. Navita Srivastava navitarewa65@gmail.com Abstract The human face Emotion Recognition is an important & primitive element human interaction. To understand human behavior, it is essential to analyze human facial Emotion Recognition from image data. Various Artificial Intelligence based techniques are used for Facial Emotion Recognition and Facial Expression Evaluation. Facial Emotion Recognition can be used in domains such as health care, marketing, environment, security and Social media. In this paper includes introduction of Facial Emotion Recognition and comparative study of popular AI based Facial Emotion Recognition techniques. Keyword Optimization, Eigen face, Fisher face, LBPH, DNN & CNN. Introduction As are stepping forward from one generation to another, and this generation depend on technologies. Emotion Recognition is an advance AI technology, it impact on social intelligence like communication understanding, decision making and also help in understanding aspect of human. Emotion play important role during communication. Emotion Recognition is new way, which provides verbal or non- verbal communication. According to Mehrabian, a psychologist, verbal language convey 7% of the message in face to face communication, speech convey 38% and facial expression provide 55% of the message. Voice is a verbal form of communication and facial expression, body movement; action is non- verbal communication [1].Automated and real time non-verbal communication play important role in human and machine interaction. Automatically recognize the emotional state the challenging field of the human – robot interaction. And it’salso allows to human behavior and thinking transparencies, so it increase the level of technology acceptance. Emotion recognition technology can improve security, health sector, airport control and criminal investigations. In this paper, an evaluation of the Artificial Intelligence and Machine Learning algorithm performance for facial expression or emotion recognition will be carried out. This will