Article

Self-Supervised Gait Event Detection from Smartphone IMUs for Human Performance and Sports Medicine

2025-10-01

Abstract excerpt

<h4>Background: </h4> Gait event detection from inertial sensors offers scalable insights into locomotor health, with applications in clinical monitoring and mobile health. Yet supervised methods are limited by scarce annotations, device variability, and sensor placement shifts. This in silico study evaluates self-supervised learning (SSL) as a resource-efficient strategy to improve robustness and generalizability...

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Literature Corpus work: a8cbe20f-9ee0-5cc2-8724-f54e2c850881
DOI: 10.20944/preprints202510.0075.v1

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