Locomotion assistive devices equipped with a microprocessor can potentially automatically
adapt their behavior when the user is transitioning from one locomotion mode to another …

The wearable lower limb exoskeleton is a typical human-in-loop human–robot coupled
system, which conducts natural and close cooperation with the human by recognizing …

Effective control of an exoskeleton robot (ER) using a human-robot interface is crucial for
assessing the robot's movements and the force they produce to generate efficient control …

Human Locomotion Mode Recognition (LMR) has the potential to be used as a control
mechanism for lower-limb active prostheses. Active prostheses can assist and restore a …

To solve the complexity of the traditional motion intention recognition method using a multi-
mode sensor signal and the lag of the recognition process, in this paper, an inertial sensor …

Active transtibial prostheses, orthoses, and exoskeletons hold the promise of improving the
mobility of lower-limb impaired or amputated individuals. Locomotion mode identification …

Developing intelligent prosthetic controllers to recognize user intent across users is a
challenge. Machine learning algorithms present an opportunity to develop methods for …

Exoskeleton robots have become an emerging technology in medical, industrial and military
applications. Human gait phase recognition is the crucial technology for recognizing …

Autonomous lower-limb exoskeletons must modulate assistance based on locomotion mode
(eg, ramp or stair ascent) to adapt to the corresponding changes in human biological joint …

We propose a novel online real-time gait terrain detection algorithm from the measurements
of a foot-mounted Inertial Measurement Unit (IMU), using a shallow cascaded Convolutional …