OxWearables/stepcount
Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers
Used by 1 other package. Available on PyPI.
Stars
52
Forks
15
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 28, 2026
Monthly downloads
826
Commits (30d)
0
Dependencies
14
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/OxWearables/stepcount"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
OxWearables/actinet
An activity classification model based on self-supervised learning for wrist-worn accelerometer data.
aqibsaeed/Human-Activity-Recognition-using-CNN
Convolutional Neural Network for Human Activity Recognition in Tensorflow
guillaume-chevalier/LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM...
felixchenfy/Realtime-Action-Recognition
Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that...
mmalekzadeh/motion-sense
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by...