IOS Press Ebooks - Artificial Intelligence-Based Mobile Application for Emotion Sensing for Children Through Art
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Artificial Intelligence-Based Mobile Application for Emotion Sensing for Children Through Art
Nashva Ali, Alaa Abdrazaq, Zubair Shah, Mowafa Househ
1130 - 1131
10.3233/SHTI220302
Research Article
Studies in Health Technology and Informatics
Volume 290: MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation
Abstract

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.

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