3 papers
cs.RO2026
Machine Learning-Based Real-Time Detection of Compensatory Trunk Movements Using Trunk-Wrist Inertial Measurement Units
Jannis Gabler, Clément Lhoste, Max Quast +5
Compensatory trunk movements (CTMs) are commonly observed after stroke and can lead to maladaptive movement patterns, limiting targeted training of affected structures. Objective,…
cs.RO2025
Deep-Learning Control of Lower-Limb Exoskeletons via simplified Therapist Input
Lorenzo Vianello, Clément Lhoste, Emek BarıŠKüçüktabak +3
Partial-assistance exoskeletons hold significant potential for gait rehabilitation by promoting active participation during (re)learning of normative walking patterns. Typically, t…
cs.RO2024
Deep-Learning Estimation of Weight Distribution Using Joint Kinematics for Lower-Limb Exoskeleton Control
Clément Lhoste, Emek BarıŠKüçüktabak, Lorenzo Vianello +4
In the control of lower-limb exoskeletons with feet, the phase in the gait cycle can be identified by monitoring the weight distribution at the feet. This phase information can be…