Retsediv/WIFI_CSI_based_HAR
Human Activity Recognition based on WiFi Channel State Information
This project helps healthcare providers and caregivers monitor patients' movements and activities remotely without using cameras that could infringe on privacy. By analyzing raw Wi-Fi signals, it can detect and classify specific human activities. The output is a classification of an activity (e.g., sitting, walking), which is useful for patient monitoring in medical institutions or assisted living.
197 stars.
Use this if you need to track human activities discreetly and non-intrusively in a specific indoor environment, for example, to monitor elderly patients or individuals requiring continuous observation.
Not ideal if you need to identify specific individuals, recognize fine-grained gestures, or monitor activities in outdoor or large, open spaces.
Stars
197
Forks
27
Language
Jupyter Notebook
License
GPL-2.0
Category
Last pushed
Dec 18, 2025
Commits (30d)
0
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