Sketch Recognition based on Deep Learning for Children’s Psychological Development Monitoring

Shamrulismawi, Fatin Nur Syafiqah (2021) Sketch Recognition based on Deep Learning for Children’s Psychological Development Monitoring. [Final Year Project] (Submitted)

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Abstract

Beyond aesthetic and educational purposes, children's drawings have been recognized throughout the past century as markers of cognitive development as well as personality, emotional and social functioning in adolescents. With the continuous development of globalization along with civilization, mental health concerns are receiving greater attention as a result. Draw-A-Person (DAP) and Draw-a-Family-Picture-Test (DAFPT) are one of the conventional psychological assessment methods based around children’s drawings, where the assessments are meant to assist experts in determining a child's cognitive development level with little to no influence from other outlier variables, such as language difficulties and special needs.

Item Type: Final Year Project
Subjects: T Technology > T Technology (General)
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ms Nurul Aidayana Mohammad Noordin
Date Deposited: 14 Feb 2023 06:57
Last Modified: 15 Mar 2023 07:20
URI: http://utpedia.utp.edu.my/id/eprint/24149

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