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 contribution | Comparative Analysis to Select an Emotion Recognition Tool Applying the Ahp Model |
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Original language | Spanish (Ecuador) |
Pages (from-to) | 453-463 |
Number of pages | 11 |
Journal | UNIANDES Episteme |
Volume | 6 |
Issue number | 6 |
State | Published - 13 Jun 2019 |
Keywords
- Emotions
- Face detection
- Face recognition
- Facial expression
- Facial recognition of emotions
CACES Knowledge Areas
- 116A Computer Science