International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 9 - Issue 6, June 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

¬¬¬Facial Emotion Recognition - A gift for the visionless

[Full Text]



Aneesh Kini U, Hasan Alp Zengin, Smitha N Pai



Convolution Neural Network, Deep Learning, Eigen Faces, Emotion recognition, Facial recognition, Fisher Face, Local Binary Pattern, Machine learning.



Most of the mundane activities these days are automated. There are others, which do not have a fixed pattern. For instance, recognition of emotions of an individual given the facial expressions. Using the Machine Learning concepts, a model is trained with various facial images having varied expressions, of single and multiple individuals. In the current work, face detection and emotion recognition is carried out at real time even when an individual is on the move. The findings of the paper can be useful in identifying missing individual, helping individuals in emotional distress. It can also help the visionless analyze the mood of the person with whom he is interacting. The name of the individual whose identity is verified is also verbally provided as an assistance to the impaired. Various face recognition algorithms and the relative comparison and analysis is also brought out usic plays an essential role in the well-being of many people. It can be therapeutic, motivational and can even unite people.



[1] Smith FW, Rossit S (2018) Identifying and detecting facial expressions of emotion in peripheral vision. PLoS ONE 13(5): e0197160.pp 1-15
[2] HAN Jing, XIE Lun, LI Dan, HE Zhijie, WANG at el. Cognitive Emotion Model for Eldercare Robot in Smart Home China Communications, Vol.12, Issue 4, pp 32-41,April 2015
[3] Seyedehsamaneh Shojaeilangari, et al. Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning IEEE Transactions on Image Processing, Vol. 24, Issue 7, pp. 2140-2152, July 2015
[4] Jianzhu Guo et al., Dominant and Complementary Emotion Recognition from still images of Faces IEEE Access, Vol. 6, pp 26391-26403, Apr. 2018
[5] Wang, Matthew et al.; "Determining Mood from Facial Expressions"; CS 229 Project; Fall 2014; pp. 1-5.
[6] Mathew Turk, Alex Pentland, “ Eigen faces for Recognition”, Journal of Cognitive Neruro science, Vol. 3, No. 1, 1991
[7] Müge Çarıkçı a, Figen Özen “Face recogntion System based on Eigen faces method”, Procedia Technology 1 ( 2012 ) 118 – 123
[8] Ziqiang Wang, Xia Sun, “Manifold Adaptive Kernel Local Fisher Discriminant Analysis for Face Recognition”, Journal of Multimedia, vol. 7, Dec. 2012.
[9] Peter N Belhumer, Joan P. Hespanha and David J. Kriegman,”Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 19, No.7, July 1997
[10] Mustamin Anggo and La Arapu, Face Recognition using Fisherface Method”, Journal of Physics, pp1-9, 2018
[11] Di Huang, caifeng Shan, et. Al, “ Local Binary Patterns and its application to Facial Image analysis: A Survey”, IEEE Transaction on Systems, Man and Cybernetics- Part C: Appliations and Reviews., Vol. 41, No. 6, Nov. 2011
[12] Florian Schroff, Dmitry Kalenichenko, James Philbin , “ FaceNet: A Unified Embedding for Face Recogntion and Clustering”, Article, (2015).pp 1-10
[13] Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf , “ DeepFAce: Closing the gap to human-level performance in face verification”,(2014).
[14] Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li Yu Qiao, Joint Face Detection and Alignment using Multi-task Cascaded Convolution Networks, IEEE Signal Processing Letters, Vol. 23, no.10, pp. 1499-1503, 2016
[15] R. Padilla, C. F. F. Costa Filho and M. G. F. Costa, “Evaluation of Haar Cascade Classifiers Designed for Face Detection”, World Academy of Science, Engineering and Technology International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:6, No:4, 2012
[16] Octavio Arriaga, Paul G. Ploger, Matias Valdenegro, “Real-time Convolutional Neural Networks for Emotion and Gender Classification”pp 1-5, Article (2017)
[17] Enrique Correa, Arnoud Jonker, Michacl Ozo, Rob Stolk,”Emotion Recognition using Deep Convolution Network”, TU Delft, 2016
[18] Michael J. Lyons, Shigeru Akamatsu, Miyuki Kamachi, Jiro Gyoba. Coding Facial Expressions with Gabor Wavelets, 3rd IEEE International Conference on Automatic Face and Gesture Recognition, pp. 200 -205 (1998) The Japanese Female Facial expression (JAFFE) Dataset http://doi.org/10.5281/zenodo.3451524
[19] Natesh M Bhat, “pyttsx3 Documentation Release 2.6”, 2019