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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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File | Description | Size | Format | |
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FYP_Report_SCSE22-0494.pdf Restricted Access | 2.15 MB | Adobe PDF | View/Open |
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