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FallDetection

This repository is a collection of deep learning models created to detect potentially life threatening falls in videos. Models are written in python and utilize tensorflow, pandas and numpy. The most successful model uses the popular 'OpenPose' library to perform feature extraction of humans in videos, and then uses a CNN/LSTM framework to predict is a person is experiencing a potentially fatal fall.

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/learn @ryankemmer/FallDetection
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Quality Score

0/100

Supported Platforms

Universal

README

Fall Detection Models

This repository is a collection of deep learning models created to detect potentially life threatening falls in videos. Models are written in python and utilize tensorflow, pandas and numpy. The most successful model uses the popular 'OpenPose' library to perform feature extraction of humans in videos, and then uses a CNN/LSTM framework to predict is a person is experiencing a potentially fatal fall.

Related Skills

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GitHub Stars16
CategoryContent
Updated6mo ago
Forks6

Languages

Jupyter Notebook

Security Score

67/100

Audited on Sep 17, 2025

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