noraagah/-A-local-machine-learning-approach-for-Fingerprint-based-Indoor-Localization

Code for "A Local Machine Learning Approach for Fingerprint based Indoor Localization Code"

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This project helps you accurately pinpoint a person's location within an indoor space using Wi-Fi signals. It takes a collection of recorded Wi-Fi signal strengths at known locations (training data) and uses new, real-time Wi-Fi readings to tell you where someone is. This is ideal for anyone managing large indoor environments like warehouses, hospitals, or malls who needs precise indoor positioning without GPS.

No commits in the last 6 months.

Use this if you need to track the precise indoor location of people or assets in an environment where GPS is unavailable or inaccurate.

Not ideal if you need outdoor positioning or if you don't have the resources to collect initial Wi-Fi fingerprinting data for your specific indoor space.

indoor-positioning asset-tracking location-services venue-management personnel-tracking
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 12 / 25

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Stars

11

Forks

2

Language

MATLAB

License

Last pushed

Mar 20, 2023

Commits (30d)

0

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