CEMA causal sEMG reproducibility package v1.0.0
This is the first stable public release accompanying the manuscript:
Single-Scale EMA Latent Memory for Strictly Causal Dense Arm-Motion Recognition from Multi-Channel sEMG
The package includes:
- training and evaluation code for CNN, CT, and CEMA;
- fixed subject-independent splits;
- deterministic five-seed configurations and fold-level results;
- causal smoothing analyses;
- stream-level boundary sensitivity analyses;
- frozen-checkpoint EMA-memory diagnostics;
- statistical analysis scripts and environment records;
- source code, data tables, and reproduction files for Figures 1–4.
The raw MyoelectricData dataset is not redistributed. Please obtain it from the official MathWorks source described in DATA_SOURCE.md.
License: MIT.