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Title: :  REALTIME EMOTION DETECTION USING KERAS
PaperId: :  13998
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 2 2021
DUI:    16.0415/IJARIIE-13998
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ponvizhi PK S Rangasamy College Of Technology
Vijai Sai RK S Rangasamy College Of Technology

Abstract

Computer Engineering
Convolutional neural network, understanding of facial expression, Deep Learning
In many automated device applications, such as robotics education, artificial intelligence, and Defence, recognition of facial expressions plays a major role. It is difficult to precisely recognize facial expressions. Approaches to solve the problem of FER (Facial Expression Recognition) can be divided into 1) single static images and 2) image sequences. Similar methods, historically, Researchers used the Multi-layer Perceptron Model, kNearest Neighbours, Help Vector Machines to solve FER. Features such as Local Binary Patterns, Eigenfaces, Facelandmark features, and Texture features were derived from these methods. Among all these strategies, Neural Networks have gained a lot of popularity and are commonly used for Oh. FER. Due to their casual architecture and ability to provide good results without the need for manual feature extraction from raw image data, CNNs (Convolutionary Neural Networks) have recently gained popularity in the field of deep learning. This paper focuses on a study of different CNN-based facial expression recognition techniques. It involves state-of-the-art techniques proposed by various researchers. The paper also illustrates the steps needed for FER to use CNN. This paper also provides an overview of methods focused on CNN and problems that need focus when selecting CNN to solve FER

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IJARIIE Ponvizhi P, and Vijai Sai R. "REALTIME EMOTION DETECTION USING KERAS" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 2 2021 Page 1136-1141
MLA Ponvizhi P, and Vijai Sai R. "REALTIME EMOTION DETECTION USING KERAS." International Journal Of Advance Research And Innovative Ideas In Education 7.2(2021) : 1136-1141.
APA Ponvizhi P, & Vijai Sai R. (2021). REALTIME EMOTION DETECTION USING KERAS. International Journal Of Advance Research And Innovative Ideas In Education, 7(2), 1136-1141.
Chicago Ponvizhi P, and Vijai Sai R. "REALTIME EMOTION DETECTION USING KERAS." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 2 (2021) : 1136-1141.
Oxford Ponvizhi P, and Vijai Sai R. 'REALTIME EMOTION DETECTION USING KERAS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, 2021, p. 1136-1141. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/REALTIME_EMOTION_DETECTION_USING_KERAS_ijariie13998.pdf (Accessed : ).
Harvard Ponvizhi P, and Vijai Sai R. (2021) 'REALTIME EMOTION DETECTION USING KERAS', International Journal Of Advance Research And Innovative Ideas In Education, 7(2), pp. 1136-1141IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/REALTIME_EMOTION_DETECTION_USING_KERAS_ijariie13998.pdf (Accessed : )
IEEE Ponvizhi P, and Vijai Sai R, "REALTIME EMOTION DETECTION USING KERAS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, pp. 1136-1141, Mar-App 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/REALTIME_EMOTION_DETECTION_USING_KERAS_ijariie13998.pdf [Accessed : ].
Turabian Ponvizhi P, and Vijai Sai R. "REALTIME EMOTION DETECTION USING KERAS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 2 ().
Vancouver Ponvizhi P, and Vijai Sai R. REALTIME EMOTION DETECTION USING KERAS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(2) : 1136-1141. Available from: https://ijariie.com/AdminUploadPdf/REALTIME_EMOTION_DETECTION_USING_KERAS_ijariie13998.pdf
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