Facial Emotion Recognition usign CNN

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Meghana P G
Mohammad Yusuf Khan
Mahesh Bharti
Kalpesh Mohanta
Kanaiya V K

Abstract

Nowadays where most of the works are being carried online the demand for face recognition technique is elevated. Computerized software is assisting in identifying human feelings such as happiness, sadness, anger, fear, disgust, etc. Over the decades, various research has been carried on the facial expression and emotion recognition. Emotion detection has extended applications. It is not merely related to any specific field nut instead the approach ranges from communication, advertising to hospital requisition and many more. To exist collective mechanisms through which we can accomplish the process of facial emotion recognition. In this paper we are using Convolutional Neural Network for the implementation. Upon exploring numerous datasets for the procedure of experiment we have chosen to go with Kaggle dataset.

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How to Cite
Meghana P G, Mohammad Yusuf Khan, Mahesh Bharti, Kalpesh Mohanta, & Kanaiya V K. (2023). Facial Emotion Recognition usign CNN. Journal of Advanced Zoology, 44(S6), 966–970. https://doi.org/10.17762/jaz.v44iS6.2328
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