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#

wearable-ai

Here are 24 public repositories matching this topic...

wearable-assistant-context-bench

A benchmark for measuring whether multimodal assistants update to current context instead of staying anchored to prior context. 50 scenarios, three channel design (audio, camera, ground truth), cross family LLM as judge by default.

  • Updated Jun 20, 2026
  • Python

End-to-end automated sleep stage classification using wearable EEG (Dreem Headband) — benchmarking classical ML, deep learning, and transfer learning (MobileNetV2) on multimodal physiological signals. Best: 82% accuracy with XGBoost, 71.2% with fine-tuned CNN.

  • Updated Jul 16, 2026
  • Jupyter Notebook

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