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papersSEP 10 04:00 UTC

RevalExo: A Benchmark for Locomotion Mode Recognition in Older Adults and Clinical Cohorts

Researchers have introduced RevalExo, a public benchmark for evaluating systems that recognize locomotion modes from inertial sensor and camera data recorded during daily activities, with a focus on older adults and clinical populations. Reliable movement classification is essential for assistive devices such as powered exoskeletons, which need to adjust their control strategies based on a user's activity. A revised version of the paper is available on arXiv.

arXivRevalExoclinical populationslocomotion mode recognitionolder adultspowered exoskeletons

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