Desenvolvimento preliminar de um algoritmo de detecção em tempo real de estados emocionais através de redes neurais convolucionais

Gabriel A. R. Silva, Marco A. R. Alves, Bruno C. Bispo*, Pedro M. Rodrigues*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents the preliminary results of an under development algorithm for emotional states real-time detection through an analysis of face images. In order to evaluate the emotional state, the Viola-Jones algorithm is applied to segment the face and a convolutional neural network (CNN) is used to classify the analyzed images. The results show an accuracy of 96.18% for the classification of the test group. The algorithm still need to be optimized for better face detection and the used database must be extended in order to generalize the results.
Original languagePortuguese
Title of host publicationXXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
PublisherSociedade Brasileira de Telecomunicações
Pages1-2
Number of pages2
DOIs
Publication statusPublished - 26 Sep 2021
EventXXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais - Fortaleza, Brazil
Duration: 26 Sep 202129 Sep 2021

Conference

ConferenceXXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
Abbreviated titleSBrT2021
Country/TerritoryBrazil
CityFortaleza
Period26/09/2129/09/21

Keywords

  • Emotion detection
  • Viola-Jones algorithm
  • Convolutional neural network

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