Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

Purpose Rehabilitation robots with intent recognition are helping people with dysfunction to
enjoy better lives. Many rehabilitation robots with intent recognition have been developed by …

This paper describes a novel gait pattern recognition method based on Long Short-Term
Memory (LSTM) and Convolutional Neural Network (CNN) for lower limb exoskeleton. The …

Human Activity Recognition (HAR) refers to an emerging area of interest for medical,
military, and security applications. However, the identification of the features to be used for …

Objective: This paper describes a gait classification method that utilizes measured motion of
the thigh segment provided by an inertial measurement unit. Methods: The classification …

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 …

Terrain detection systems have been developed for a large body of applications. For
instance, a bionic leg prosthesis would have to adapt its behavior as a function of the terrain …

The lower-limb robotic prostheses can provide assistance for amputees' daily activities by
restoring the biomechanical functions of missing limb (s). To set proper control strategies …

Human intent recognition is important to the control of robotic prosthesis. In this paper, we
propose a multi-level real-time on-board system to recognize continuous locomotion modes …

Wearable lower-limb assistive devices have the potential to dramatically improve the
walking ability of millions of individuals with gait impairments. However, most control …