NeuroKine-HIIT: A Wearable Near-Sensor Neuromorphic Framework for Sub-Millisecond Inference and Fatigue-Aware Kinematic Feedback

This repository contains the supporting dataset structure, source code, configuration files, result tables, and figure-generation resources for the manuscript “NeuroKine-HIIT: A Wearable Near-Sensor Neuromorphic Framework for Sub-Millisecond Inference and Fatigue-Aware Kinematic Feedback.” The repository supports a wearable HIIT monitoring framework based on multi-node IMU sensing, near-sensor biomechanical spike-event encoding, Kine-SNN inference, fatigue-aware risk estimation, and localized haptic feedback. It includes raw IMU records, spike-event records, repetition-level labels, metadata, manuscript-aligned result tables, runtime-style table snapshots, and modular Python scripts for training, evaluation, and figure preparation. The released files are de-identified and do not include participant names, video recordings, images, or personally identifying information.