Análisis Comparativo para Seleccionar una Herramienta de Reconocimiento de Emociones Aplicando el Modelo Ahp

Translated title of the contribution: Comparative Analysis to Select an Emotion Recognition Tool Applying the Ahp Model

Miguel Angel Quiroz Martinez, Jahaira Maria Guachizaca Hernández, Shakir Sebastian Ortega Veintimilla

Research output: Contribution to journalArticle

Abstract

The importance of nonverbal behavior and what is transmitted through body language plays a very important role in our environment. As one of the areas This work focuses on the recognition of emotions of children from 2 to 4 years of age. The objective of this article is to evaluate the efficiency of the emotions recognition tools, which are Face ++, Microsoft Azure Emotion API and Google Vision API to infer the attributes of children. In order to carry out this research, a comparative analysis of the tools used was carried out. They were taken as a sample in a group of 20 children, from the "Los chavitos" Foundation of MIES in Ecuador. The experimental results benefited from Face ++ being presented more accurately in relation to Microsoft Azure Emotion API and Google Vision API. The use of emotion recognition tools.
Translated title of the contributionComparative Analysis to Select an Emotion Recognition Tool Applying the Ahp Model
Original languageSpanish (Ecuador)
Pages (from-to)453-463
Number of pages11
JournalUNIANDES Episteme
Volume6
Issue number6
StatePublished - 13 Jun 2019

Keywords

  • Emotions
  • Face detection
  • Face recognition
  • Facial expression
  • Facial recognition of emotions

CACES Knowledge Areas

  • 116A Computer Science

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