Wearable Signal Tools · Signal processing
actinet
Python signal processing toolbox for accelerometer/IMU signals (activity recognition, actigraphy)
What is actinet?
actinet is a Python activity classifier for wrist-worn accelerometers built on a self-supervised learning model, producing activity time series and summary metrics.
Commercial use: no. Licence: Not stated. Shown as recorded for this project; read the licence before any commercial use.
actinet at a glance
- Signals
- Category
- Signal processing
- Domains
- activity recognition, actigraphy
- Language
- Python
- Licence
- Not stated
- Commercial use
- no
- Maintenance
- Commit in the last 12 months (as of Oct 21, 2026)
- Last commit
- Oct 9, 2026
Is actinet in the ChatPPG research hub?
Yes. These research pages cover the same project:
Related open-source tools
Other Wearable Signal Tools that share a signal with actinet.
Summary, licence and commercial-use fields are shown as recorded for this project. Maintenance is computed from the last commit date. Check the project’s own repository for its current licence and status.