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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&apos;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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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