anish-lakkapragada/Hand-Classification-For-Autism-Diagnosis

[JMIR '22, DataBricks '22] Code for Classification of Abnormal Hand Movement for Aiding in Autism Detection

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Combines MediaPipe hand landmark detection with LSTM networks and MobileNet V2 feature extraction to identify hand-flapping behavior from video frames. Uses rigorous 5-fold cross-validation repeated 100 times across randomized dataset splits, achieving 84% F1-score. Includes demo code, trained model checkpoints, and experimental notebooks exploring landmark-based versus CNN-based approaches on the Self-Stimulatory Behavior Dataset.

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23

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6

Language

Jupyter Notebook

License

MIT

Last pushed

Nov 03, 2023

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