Article

Hierarchical Multi-Task Learning for Comprehensive Gait Assessment Using Wearable Inertial Sensors

2026-04-17

Abstract excerpt

<title>Abstract</title> <p> Quantitative gait analysis with wearable inertial sensors holds substantial promise for scalable screening, diagnosis, and monitoring of neurological and musculoskeletal disorders. However, existing approaches predominantly adopt a single-task learning (STL) paradigm, training separate models for each clinical objective, which limits multi-objective coverage, parameter efficiency, pre...

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Literature Corpus work: 4987c5fd-3332-50c1-b458-b5f321d60428
DOI: 10.21203/rs.3.rs-9269875/v1

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