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Annals of Computer Science and Information Systems, Volume 24

Proceedings of the 2020 International Conference on Research in Management & Technovation

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REGA: Real-Time Emotion, Gender, Age Detection Using CNN—A Review

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DOI: http://dx.doi.org/10.15439/2020KM18

Citation: Proceedings of the 2020 International Conference on Research in Management & Technovation, Shivani Agarwal, Darrell Norman Burrell, Vijender Kumar Solanki (eds). ACSIS, Vol. 24, pages 115–118 ()

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Abstract. In this paper we describe a methodology and an algorithm to estimate the real-time age, gender, and emotion of a human by analyzing of face images on a webcam. Here we discuss the CNN based architecture to design a real-time model. Emotion, gender and age detection of facial images in webcam play an important role in many applications like forensics, security control, data analysis,video observation and human-computer interaction. In this paper we present some method \& techniques such as PCA,LBP, SVM, VIOLA-JONES, HOG which will directly or indirectly used to recognize human emotion, gender and age detection in various conditions

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