Exoskeletons are robots that closely interact with humans and that are increasingly used for
different purposes, such as rehabilitation, assistance in the activities of daily living (ADLs) …

Fast and accurate gait phase detection is essential to achieve effective powered lower-limb
prostheses and exoskeletons. As the versatility but also the complexity of these robotic …

Our aim is to maximize the interpretable information for gait analysis. To achieve this, it is
important to find the optimal sensor placement and the parameters that influence the …

This paper aims to assess the use of Inertial Measurement Unit (IMU) sensors to identify gait
asymmetry by extracting automatic gait features. We design and develop an android app to …

Lower limb exoskeletons require the correct support magnitude and timing to achieve user
assistance. This study evaluated whether the sign of the angular velocity of lower limb …

The rapid progress of flexible electronics has met the growing need for detecting human
movement information in exoskeleton auxiliary equipment. This study provides a review of …

Throughout the last decade, a whole new generation of powered transtibial prostheses and
exoskeletons has been developed. However, these technologies are limited by a gait phase …

In this paper, we propose to use brain-computer interface (BCI) to control a lower-limb
exoskeleton. The exoskeleton follows the wearer's motion intention through decoding of …

Falls are the leading cause of disability and death among the elderly. Over the years,
several inertial-based wearable devices for automatic fall and pre-fall detection have been …

This article presents a graph convolutional network model (GCNM) for gait phase
classification to control a lower limb exoskeleton. The GCNM can recognize four leg phases …