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Assist-as-needed impedance control strategy for a wearable ankle robotic orthosis
Feedback-error learning control for powered assistive devices
Daily locomotion recognition and prediction: A kinematic data-based machine learning approach
Design and technical validation of a wearable biofeedback system for robotic gait rehabilitation
Study of gait cycle using a five-link inverted pendulum model: first developments
Feedback-error learning for gait rehabilitation using a powered knee orthosis: first advances
EMG-based motion intention recognition for controlling a powered knee orthosis
Gait event detection in controlled and real-life situations: repeated measures from healthy subjects