[JMIR '22, DataBricks '22] Code for Classification of Abnormal Hand Movement for Aiding in Autism Detection
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Updated
Nov 3, 2023 - Jupyter Notebook
[JMIR '22, DataBricks '22] Code for Classification of Abnormal Hand Movement for Aiding in Autism Detection
This project employs machine learning for early autism detection. Utilizing Python and SVM, it offers two models: one trained on a verified dataset for classification, and another for real-time prediction from user input, enhanced with visualizations for insightful analysis.
This Project helps people with Autism get better, Using unique features and cutting edge technologies.
[MICCAI 22 / MLCN 22] Interpersonal neural synchrony based ASD prediction
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