AGE, GENDER AND EMOTION DETECTION USING CNN

Manasa SB, Jeffy. S.Abraham, Anjali Sharma, Himapoornashree KS

Abstract


— Face is one of the most dominant features in our body. We can get many information like age, gender, etc by analyzing the face of a human. In today’s world, computer vision is been used to train machines to comprehend and understand the real world. Using several digital images from webcam, videos, cameras and with the help of deep learning, computers can correctly figure out   and classify objects and then respond to what they “see” in real world. There are various uses of identifying age and gender from face like forensic testing, restricting access of alcohol from wending machine and adult content for young people. Emotion from a face can be used to predict human computer interaction, students/teacher’s interest in class, advertisement bots etc.


Keywords


CNN; Residual neural network; RELU -Rectified Linear Unit

Full Text:

PDF

References


Imane Lasri, Anouar Riad Solh & Mourad El Belkacemi, “Facial Emotion Recognition of Students using Convolutional Neural Network”, IEEE-2019

Rajesh Kumar G A, Ravi Kant Kumar & Goutam Sanyal, “Facial Emotion Analysis using Deep Convolutional Neural Network”, 2017 International Conference on Signal Processing and Communication (ICSPC). doi:10.1109/cspc.2017.8305872, Pg.No.-369 to 374

2018-Sepidehsadat Hosseini, Seok Hee Lee, Hyuk Jin Kwon, Hyung Il Koo &Nam Ik Cho, “Age and Gender Classification Using Wide Convolutional Neural Network and Gabor Filter”, IEEE-2018

Ari Ekmekji”, Convolutional Neural Networks for Age and Gender Classification”, Stanford University-2016

Levi, G, & Hassncer, T, "Age and gender classification using convolutional neural networks”, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). doi:10.1109/cvprw.2015.7301352, Pg no.-34 to 42

Bogdan Kwolek, “Face Detection Using Convolutional Neural Networks and Gabor Filters”, Conference Paper- September 2005, Pg.No. - 1 to 5




DOI: https://doi.org/10.26483/ijarcs.v11i0.6548

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2020 International Journal of Advanced Research in Computer Science