AIFrontierLab/HAROODdata

HAROOD: A Benchmark for Out-of-distribution Generalization in Sensor-based Human Activity Recognition Paper | GitHub Repository HAROOD is a modular and reproducible benchmark framework for studying generalization in sensor-based human activity recognition (HAR). It unifies preprocessing pipelines, standardizes four realistic OOD scenarios (cross-person, cross-position, cross-dataset, and cross-time), and implements 16 representative algorithms across CNN and Transformer… See the full description on the dataset page: https://huggingface.co/datasets/AIFrontierLab/HAROODdata.

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