2023
DOI: 10.3389/frobt.2023.1166248
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Predicting the metabolic cost of exoskeleton-assisted squatting using foot pressure features and machine learning

Abstract: Introduction: Recent studies found that wearable exoskeletons can reduce physical effort and fatigue during squatting. In particular, subject-specific assistance helped to significantly reduce physical effort, shown by reduced metabolic cost, using human-in-the-loop optimization of the exoskeleton parameters. However, measuring metabolic cost using respiratory data has limitations, such as long estimation times, presence of noise, and user discomfort. A recent study suggests that foot contact forces can addres… Show more

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Cited by 5 publications
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