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• W2744714605 abstract "Adequate benchmarking procedures in the area of wearable robots is gaining importance in order to compare different devices on a quantitative basis, improve them and support the standardization and regulation procedures. Performance assessment usually focuses on the execution of locomotion tasks, and is mostly based on kinematic-related measures. Typical drawbacks of marker-based motion capture systems, gold standard for measure of human limb motion, become challenging when measuring limb kinematics, due to the concomitant presence of the robot. This work answers the question of how to reliably assess the subject's body motion by placing markers over the exoskeleton. Focusing on the ankle joint, the proposed methodology showed that it is possible to reconstruct the trajectory of the subject's joint by placing markers on the exoskeleton, although foot flexibility during walking can impact the reconstruction accuracy. More experiments are needed to confirm this hypothesis, and more subjects and walking conditions are needed to better characterize the errors of the proposed methodology, although our results are promising, indicating small errors." @default.
• W2744714605 created "2017-08-17" @default.
• W2744714605 creator A5004065024 @default.
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• W2744714605 date "2017-07-01" @default.
• W2744714605 modified "2023-10-14" @default.
• W2744714605 title "Simultaneous estimation of human and exoskeleton motion: A simplified protocol" @default.
• W2744714605 cites W1580648284 @default.
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• W2744714605 doi "https://doi.org/10.1109/icorr.2017.8009449" @default.
• W2744714605 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28814021" @default.
• W2744714605 hasPublicationYear "2017" @default.
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