Banca de QUALIFICAÇÃO: JAINE RANNOW BUDKE

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : JAINE RANNOW BUDKE
DATE: 27/05/2022
TIME: 09:00
LOCAL: https://shu.zoom.us/my/profmarjory
TITLE:

Face Biometrics for Differentiating Typical Development and Autism Spectrum Disorder: a methodology for collecting and evaluating a dataset

KEY WORDS:

Face biometrics, Autism

PAGES: 61
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SPECIALTY: Processamento Gráfico (Graphics)
SUMMARY:

Autism spectrum disorder (ASD) is a neuro-developmental disability marked by deficits in communicating and interacting with others. The standard protocol for diagnosis is based on fulfillment of a descriptive criteria, which does not establish precise measures and influence the late diagnosis. Thus, new diagnostic approaches should be explored in order to better standardise practices. The best case scenario would be to have a reliable automated system that indicates the diagnosis with an acceptable level of assurance. At the moment, there are no publicly available representative open-source datasets with the main aim of this diagnosis. This work proposes a new methodology for collecting a Face Biometrics dataset with the aim to investigate the differences in facial expressions of ASD and Typical Developmental (TD) people. Thus, a new dataset of facial images was collected from YouTube videos, and computer vision-based techniques were used to extract image frames and filter the dataset.

BANKING MEMBERS:
Presidente - 2524467 - MARJORY CRISTIANY DA COSTA ABREU
Interno - 2177445 - BRUNO MOTTA DE CARVALHO
Externo ao Programa - 1669545 - DANIEL SABINO AMORIM DE ARAUJO