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Diagnosis and Fault-Tolerant Control of Critical Infrastructures Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Identification of Emotions Based on Human Facial Expressions Using a Color-Space Approach

Authors : Zdzisław Kowalczuk, Piotr Chudziak

Published in: Advanced Solutions in Diagnostics and Fault Tolerant Control

Publisher: Springer International Publishing

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Abstract

HCI technology improves human-computer interaction. Such communication can be carried out with the use of emotions that are visible on the human face since birth [1]. In this paper the Emotion system for detecting and recognizing facial expressions, developed in the MSc work [2], is presented. The system recognizes emotion from webcam video in real time. It is based on color segmentation and morphological operations. The system uses a cascade of boosted classifiers based on Haar-like features, to locate the face and to reduce the searched area for characteristic points. For identification purposes, the Emotion system uses an expanded action unit EAU, based on a facial action coding system, FACS [3, 4].

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previous chapter Bronchopulmonary Dysplasia Prediction Using Naive Bayes Classifier
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Metadata
Title
Identification of Emotions Based on Human Facial Expressions Using a Color-Space Approach
Authors
Zdzisław Kowalczuk
Piotr Chudziak
Copyright Year
2018
Book
Advanced Solutions in Diagnostics and Fault Tolerant Control

Print ISBN: 978-3-319-64473-8

Electronic ISBN: 978-3-319-64474-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-64474-5_24

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