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Forecasting Price of Indian Stock Market Using Supervised Machine Learning Technique Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Real-Time Facial Emotions Analysis in Videos

Authors : Babajee Phavish, Suddul Geerish, Armoogum Sandhya, Foogooa Ravi

Published in: Progress in Advanced Computing and Intelligent Engineering

Publisher: Springer Singapore

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Abstract

Deciphering human facial expressions is an integral part of achieving a seamless human to machine communication. This may assist in various cognitive tasks and convey important information such as emotions, intentions and opinions in a medium where machines can understand beyond the traditional binary form of communication. In this paper, we present a significant progress in this direction. We adapted a machine learning approach based on a neural network to help recognize human facial expressions in real time. With a core revolving around a multi-layered convolutional network responsible to train a model, we were able to successfully detect frontal faces from a video stream and encode, in real time, the seven emotions of joy, disgust, neutral, anger, fear, sadness and surprise.

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previous chapter Sentiment Polarity Detection on Bengali Book Reviews Using Multinomial Naïve Bayes
next chapter An Extended Genetic Algorithm-Based Prevention System Against DoS/DDoS Flood Attacks in VoIP Systems
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Metadata
Title
Real-Time Facial Emotions Analysis in Videos
Authors
Babajee Phavish
Suddul Geerish
Armoogum Sandhya
Foogooa Ravi
Copyright Year
2021
Publisher
Springer Singapore
Book
Progress in Advanced Computing and Intelligent Engineering

Print ISBN: 978-981-334-298-9

Electronic ISBN: 978-981-334-299-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4299-6_24