Wearable Signal Tools · Benchmark harness
dl-for-har
Python benchmark and evaluation code for accelerometer/IMU signals (activity recognition)
What is dl-for-har?
dl-for-har is the code for deep learning on inertial human activity recognition from the best-paper study on shallow LSTMs, with training and evaluation pipelines.
dl-for-har at a glance
- Signals
- Category
- Benchmark harness
- Domains
- activity recognition
- Language
- Python
- Licence
- MIT
- Commercial use
- yes
- Maintenance
- Last commit 1 to 3 years ago (as of Oct 21, 2026)
- Last commit
- Mar 17, 2025
Related open-source tools
Other Wearable Signal Tools that share a signal with dl-for-har.
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.