Open AccessGender, Age and Emotion Recognition using Deep Learning
Author(s) -
G S Siddharth
Publication year - 2022
Publication title -
indian scientific journal of research in engineering and management
Language(s) - English
Resource type - Journals
ISSN - 2582-3930
DOI - 10.55041/ijsrem11525
Subject(s) - computer science , task (project management) , artificial neural network , phone , deep learning , artificial intelligence , emotion recognition , convolutional neural network , convolution (computer science) , software , architecture , speech recognition , machine learning , multimedia , engineering , art , linguistics , philosophy , systems engineering , visual arts , programming language
Automatic gender and age recognition have now pertinent to an extension of its usage in various software and hardware, particularly because of the growth of online social networking websites and social media. The advertisements can be specialized based on the age and the gender of the person on the phone. It also can help identify suspects in criminal cases or at least it can minimize the number of suspects. A Convolution Neural Network is a deep neural network (DNN) widely used for the purposes of image recognition and processing and NLP. A convolution neural network architecture is built and the model is trained for gender, age and emotion recognition from images. Anandroid application can be developed implementing the age, gender and emotionrecognition. With the phone capturing the photo, the frames are pre-processed and fed to the model to accomplish this task, and the prediction is displayed accordingly.