Objective. Advanced robotic lower limb prostheses are mainly controlled autonomously.
Although the existing control can assist cyclic movements during locomotion of amputee …

In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …

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

Benefiting from the development of the Internet of Healthcare Things (IoHT) in recent years,
locomotion mode recognition using wearable sensors plays a more and more important role …

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 …

The focus of the present research endeavour is to propose a single channel
Electromyogram (EMG) signal driven continuous terrain identification method utilizing a …

Locomotion mode identification is essential for the control of a robotic rehabilitation
exoskeletons. This paper proposes an online support vector machine (SVM) optimized by …

Detecting human movement intentions is fundamental to neural control of robotic
exoskeletons, as it is essential for achieving seamless transitions between different …

Locomotion recognition and prediction is essential for real-time human–machine interactive
control. The integration of electromyography (EMG) with mechanical sensors could improve …

Automatic terrain classification in lower limb rehabilitation systems has gained worldwide
attention. In this field, a simple system architecture and high classification accuracy are two …