Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/166386
Title: Computer vision-based study to identify the role of facial emotions in autism detection
Authors: Hogan, MIchael James
Keywords: Engineering::Computer science and engineering::Data
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Hogan, M. J. (2023). Computer vision-based study to identify the role of facial emotions in autism detection. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166386
Project: SCSE22-0494 
Abstract: This report investigates the role of facial emotions in autism detection using computer vision techniques. Autism Spectrum Disorder (ASD) is a complex developmental disorder characterised by difficulties faced in social interaction, communication, and with repetitive behaviours. Early detection and a subsequent proper response can significantly improve the quality of life for individuals with autism. In this study, we explore the effectiveness of computer vision algorithms in identifying facial emotion displayed as a potential tool for autism detection.
URI: https://hdl.handle.net/10356/166386
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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