mojtabaSefidi/Fall-Detection-System

Official Source code for "Comparative Study on Performance of ML Models for Fall Detection in Older People" paper.

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This system helps healthcare professionals and researchers develop better ways to detect falls in older people. By taking raw motion sensor data from wearable devices worn by seniors during daily activities and simulated falls, it processes the information and evaluates various machine learning models to identify different types of falls. The output shows which models perform best, allowing for the creation of more accurate and timely automated fall detection systems.

Use this if you are developing or evaluating automated fall detection systems for elderly individuals using wearable sensor data.

Not ideal if you need a pre-built, production-ready fall detection application ready for deployment rather than a research and evaluation tool.

elderly care gerontology wearable technology patient monitoring assistive living
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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11

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Language

Jupyter Notebook

License

GPL-3.0

Last pushed

Feb 14, 2026

Commits (30d)

0

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