OxWearables/stepcount
Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers
This tool helps researchers and health professionals accurately count steps from raw data collected by wrist-worn accelerometers. You input accelerometer files from research devices like Axivity AX3, or converted CSV data from consumer devices, and it outputs detailed step counts, walking minutes, and activity summaries at daily, hourly, and minute levels. It's designed for anyone needing precise activity measurement for health research or behavioral studies.
Used by 1 other package. Available on PyPI.
Use this if you need to derive highly accurate step counts from wrist-worn accelerometer data for research, clinical studies, or population health analysis.
Not ideal if you're looking for real-time step tracking for fitness purposes or if you don't have access to raw accelerometer data.
Stars
52
Forks
15
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 28, 2026
Commits (30d)
0
Dependencies
14
Reverse dependents
1
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