Paper Title :Facial Expression Recognition using feature Extraction and without Feature Extraction Technique

Author :Shikha Sharma, Ramesh K Sunkaria

Article Citation :Shikha Sharma ,Ramesh K Sunkaria , (2022 ) " Facial Expression Recognition using feature Extraction and without Feature Extraction Technique " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 31-36, Volume-10,Issue-7

Abstract : Abstract - Face emotion detection is a significant problem in machine-human interaction, as well as other activities such as accurate computations, computer vision, consumer search, video game testing, and so on. The facial expression recognition system is valuable in a collection of disciplines, consisting of advertising and medicine. Facial expressions define nonverbal communication; they allow us to understand a person's emotions and inner sentiments. Facial expression recognition technology aids in the comprehension of human thinking. This paper provides the facial expression recognition process with feature extraction technique and without feature extraction and also provides a comparison of accuracy among these approaches. All approaches are performed on the CK+ dataset. In this paper, facial expression recognition is performed by using convolution neural network algorithms. Keywords - Dataset, Facial Expression Recognition, Convolutional Neural Network (CNN),Feature Extraction

Type : Research paper

Published : Volume-10,Issue-7

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