Artificial Intelligence-Based Mobile Application for Emotion Sensing for Children Through Art

Autor: Nashva Ali, Alaa Abdrazaq, Zubair Shah, Mowafa Househ
Rok vydání: 2022
DOI: 10.3233/shti220302
Popis: In this paper, we develop an artificial intelligence (A.I.) based Emotion Sensing Recognition App (ESRA) to help parents and teachers understand the emotions of children by analyzing their drawings. Four different experiments were conducted using a combination of two datasets. The deep learning model was trained using the Fastai library in Python. The model classifies the drawings into positive or negative emotions. The model accuracy ranged from 55% to 79% in the four experiments.
Databáze: OpenAIRE