anish-lakkapragada/Hand-Classification-For-Autism-Diagnosis
[JMIR '22, DataBricks '22] Code for Classification of Abnormal Hand Movement for Aiding in Autism Detection
This project helps clinicians and researchers identify potential autism-related behaviors in children by analyzing hand movements from unstructured home videos. It takes short video clips of children as input and can help detect instances of hand flapping, which is a common self-stimulatory behavior associated with autism. This tool is designed for healthcare professionals, developmental pediatricians, or researchers looking for scalable methods to aid in early autism detection.
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Use this if you are a clinician or researcher exploring digital tools to assist in the early detection of autism by analyzing specific motor behaviors in video footage.
Not ideal if you need a definitive diagnostic tool, as this project is an initial step towards activity detection and not a standalone diagnostic solution.
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23
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6
Language
Jupyter Notebook
License
MIT
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Last pushed
Nov 03, 2023
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