Computer vision-based study to identify the role of facial emotions in autism detection
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...
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Nanyang Technological University
2023
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sg-ntu-dr.10356-1663862023-04-28T15:39:58Z Computer vision-based study to identify the role of facial emotions in autism detection Hogan, MIchael James Vidya Sudarshan School of Computer Science and Engineering vidya.sudarshan@ntu.edu.sg Engineering::Computer science and engineering::Data 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. Bachelor of Engineering (Computer Science) 2023-04-26T01:53:54Z 2023-04-26T01:53:54Z 2023 Final Year Project (FYP) 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 https://hdl.handle.net/10356/166386 en SCSE22-0494 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering::Data Hogan, MIchael James Computer vision-based study to identify the role of facial emotions in autism detection |
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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. |
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Vidya Sudarshan |
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Vidya Sudarshan Hogan, MIchael James |
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Final Year Project |
author |
Hogan, MIchael James |
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Hogan, MIchael James |
title |
Computer vision-based study to identify the role of facial emotions in autism detection |
title_short |
Computer vision-based study to identify the role of facial emotions in autism detection |
title_full |
Computer vision-based study to identify the role of facial emotions in autism detection |
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Computer vision-based study to identify the role of facial emotions in autism detection |
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Computer vision-based study to identify the role of facial emotions in autism detection |
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computer vision-based study to identify the role of facial emotions in autism detection |
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Nanyang Technological University |
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2023 |
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https://hdl.handle.net/10356/166386 |
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1765213841217552384 |