Autism Spectrum Self-Stimulatory Behaviors Classification Using Explainable Temporal Coherency Deep Features and SVM Classifier

Autism Spectrum Self-Stimulatory Behaviors Classification Using Explainable Temporal Coherency Deep Features and SVM Classifier

Autism spectrum disorder is a very common disorder. An early diagnosis of autism is essential for the prognosis of this disorder. The common diagnosis method utilizes behavioural cues of autistic children. Doctors require years of clinical training to acquire the ability to capture these behavioural...

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Bibliographic Details
Main Authors: Shuaibing Liang, Aznul Qalid Md Sabri, Fady Alnajjar, Chu Kiong Loo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Autism spectrum disorder
computational behavioural analysis
machine learning
temporal coherency
unsupervised deep learning
Online Access:https://ieeexplore.ieee.org/document/9360809/

Internet

https://ieeexplore.ieee.org/document/9360809/

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