qriton/hlm-micro-har-v1-uci-har
04
HLM-Micro HAR v1 - UCI HAR
HLM-Micro HAR v1 is a compact polynomial-Hopfield classifier trained on the UCI Human Activity Recognition dataset.
Results
Per-class summary from the source evaluation:
Files
Intended Use
- Research on compact human-activity-recognition models.
- TinyML and edge-sensor experiments.
- Baseline for HLM-Micro architecture comparisons.
Limitations
- UCI HAR is a fixed benchmark, not a complete wearable deployment test.
- Not a medical, fall-detection, gait-analysis, or safety-critical model.
- Production use would require new data collection, calibration, and deployment testing.
