Emotion Recognition in video with Open CV and Cognitive Services API: A comparison.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517246" target="_blank" >RIV/70883521:28140/17:63517246 - isvavai.cz</a>
Result on the web
<a href="http://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2017/164.pdf" target="_blank" >http://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2017/164.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2507/28th.daaam.proceedings.164" target="_blank" >10.2507/28th.daaam.proceedings.164</a>
Alternative languages
Result language
angličtina
Original language name
Emotion Recognition in video with Open CV and Cognitive Services API: A comparison.
Original language description
Emotions are people's reactions to certain stimuli. Most common way to detect an emotion is by facial expression analysis. Machine learning algorithms combined with other artificial intelligence techniques have been developed in order to identify expressions found in images and videos. Support Vector Machines, along with Haar Cascade classifiers can be used for efficient emotion recognition. OpenCV, an open-source library for machine learning, makes it possible to develop computer-vision applications. Cognitive Services is a free set of APIs which easily integrate artificial intelligence in applications. In this paper a comparison between two implementations of Emotion Recognition algorithms, namely SVM and Cognitive Services API, was carried out to compare their performance. For this research, 500 tests were performed per experiment. The SVM implementation in OpenCV obtained the best performance, with an 84% accuracy, which can be boosted by increasing the sample size per emotion.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Annals of DAAAM International 2017, Volume 28
ISBN
978-3-902734-14-3
ISSN
2304-1382
e-ISSN
neuvedeno
Number of pages
6
Pages from-to
1185-1190
Publisher name
DAAAM International Vienna
Place of publication
Vienna
Event location
Zadar
Event date
Nov 8, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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