Elderly-Motion-Analytics-for-Fall-Prevention Cyberoctane29 · COMPLETED
This project implements binomial logistic regression in Python to predict whether an individual is lying down based on vertical acceleration data. Designed for healthcare and fall detection applications, the model helps identify patterns in motion that correlate with lying down, a critical factor in elderly care and injury prevention.
github.com/Cyberoctane29/Elderly-Motion-Analytics-for-Fall-Prevention · ★ 0 · Forks 0 · Size 1.1 MB
SUMMARY
Technologies 1
Scored 1
Observed 1
Practices 6
Evidence 1
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COVERAGE
Analyzed 4 files · 21 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-04-08
Last commit 2025-04-10
Active months 1
Commits 21