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cross-subject-generalization

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Official code for "Revisiting Subject-Independent Evaluation for Smartphone-Based Fall and Activity Recognition". This repository quantifies the CV-to-LOSO generalization gap on the MobiAct dataset and introduces Feature-Invariance-Conditioned (FIC) pooling with SAM to improve cross-subject HAR performance.

  • Updated Aug 26, 2026
  • Python

Code, firmware and measured results for the IEEE Access paper: Wi-Fi CSI human activity recognition (TinyML) on a memory-constrained ESP32 microcontroller

  • Updated Oct 14, 2026
  • C

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