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Title: :  Facial Expression Recognition
PaperId: :  10058
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 3 2019
DUI:    16.0415/IJARIIE-10058
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Aditi BhadaneK. K. Wagh Institute of Engineering Education and Research, Nashik
Anuja DixitK. K. Wagh Institute of Engineering Education and Research, Nashik
Disha ShastriK. K. Wagh Institute of Engineering Education and Research, Nashik
Vivek IngleK. K. Wagh Institute of Engineering Education and Research, Nashik

Abstract

Computer Engineering
expression recognition, feature points, image processing, expressions, emotion analysis, Support Vector Machine
Facial Expressions are considered as one of the channels that convey human emotions. The task of emotion recognition often involves the analysis of human expressions in multi-modal forms such as images, text, audio or video. Different emotion types are identified through the integration of features from facial expressions. This information contains particular feature points that are used to analyse expressions or emotions of the person. These feature points are extracted using image processing techniques. The proposed system focuses on categorizing the set of 68 feature points into one of the six universal emotions i.e. Happy, Sad, Anger, Disgust, Surprise and Fear. For collecting these points, a series of images is given as input to the system. Feature points are extracted and corresponding co-ordinates of the points are obtained. Based on the distances co-ordinates from centroid, images are classified into one of the universal emotions. Existing system show recognition accuracy more than 90% when SVM (Support Vector Machine) classifier is used. In proposed system, SVM classifier is used for building the classification model using extracted 68 feature points from 7 Region of Interests (ROI). Proposed system recognizes emotions of the person with high precision.

Citations

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IJARIIE Aditi Bhadane, Anuja Dixit, Disha Shastri, and Vivek Ingle. "Facial Expression Recognition" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 3 2019 Page 266-271
MLA Aditi Bhadane, Anuja Dixit, Disha Shastri, and Vivek Ingle. "Facial Expression Recognition." International Journal Of Advance Research And Innovative Ideas In Education 5.3(2019) : 266-271.
APA Aditi Bhadane, Anuja Dixit, Disha Shastri, & Vivek Ingle. (2019). Facial Expression Recognition. International Journal Of Advance Research And Innovative Ideas In Education, 5(3), 266-271.
Chicago Aditi Bhadane, Anuja Dixit, Disha Shastri, and Vivek Ingle. "Facial Expression Recognition." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 3 (2019) : 266-271.
Oxford Aditi Bhadane, Anuja Dixit, Disha Shastri, and Vivek Ingle. 'Facial Expression Recognition', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 3, 2019, p. 266-271. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Facial_Expression_Recognition_ijariie10058.pdf (Accessed : 26 August 2022).
Harvard Aditi Bhadane, Anuja Dixit, Disha Shastri, and Vivek Ingle. (2019) 'Facial Expression Recognition', International Journal Of Advance Research And Innovative Ideas In Education, 5(3), pp. 266-271IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Facial_Expression_Recognition_ijariie10058.pdf (Accessed : 26 August 2022)
IEEE Aditi Bhadane, Anuja Dixit, Disha Shastri, and Vivek Ingle, "Facial Expression Recognition," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 3, pp. 266-271, May-Jun 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Facial_Expression_Recognition_ijariie10058.pdf [Accessed : 26 August 2022].
Turabian Aditi Bhadane, Anuja Dixit, Disha Shastri, and Vivek Ingle. "Facial Expression Recognition." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 3 (26 August 2022).
Vancouver Aditi Bhadane, Anuja Dixit, Disha Shastri, and Vivek Ingle. Facial Expression Recognition. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 26 August 2022]; 5(3) : 266-271. Available from: https://ijariie.com/AdminUploadPdf/Facial_Expression_Recognition_ijariie10058.pdf
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