Weight Distribution Estimation in Lower-Limb Exoskeletons via Deep Learning: Introduction

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Explore deep learning for real-time weight distribution estimation in lower-limb exoskeletons, enhancing control without additional sensors.

Authors: Clement Lhos, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, USA; Emek Barıs¸ Kuc¸uktabak, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, USA and Center for Robotics and Biosystems, Northwestern University, Evanston, IL, USA; Lorenzo Vianello, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, USA; Lorenzo Amato, Legs and Walking Lab of Shirley Ryan AbilityLab, Chicago, IL, USA and The Biorobotics Institute, Scuola Superiore Sant’Anna,...

Lower-limb exoskeletons are increasingly being utilized in everyday tasks and rehabilitation for individuals with gait impairments. In clinical settings, these exoskeletons are typically classified into two main types: partial assistance and full mobilization. Full mobilization exoskeletons are designed for patients with severe motor control disorders, providing autonomous movement of the legs regardless of the patient’s input .

Lower-limb exoskeletons are increasingly being utilized in everyday tasks and rehabilitation for individuals with gait impairments. In clinical settings, these exoskeletons are typically classified into two main types: partial assistance and full mobilization. Full mobilization exoskeletons are designed for patients with severe motor control disorders, providing autonomous movement of the legs regardless of the patient’s input .

 

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