Control systems of robotic prostheses should be designed to decode the users' intent to
start, stop, or change locomotion; and to select the suitable control strategy, accordingly …

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 …

Recently developed lower-limb prostheses are capable of actuating the knee and ankle
joints, allowing amputees to perform advanced locomotion modes such as step-over-step …

This paper aims to analyze computing performance of an on-board locomotion mode
recognition system which was designed for robotic transtibial prosthesis. A hard-ware …

Table of Contents Page 1 APRIL 2016 VOLUME 24 NUMBER 4 ITNSB3 (ISSN 1534-4320)
Neural Engineering The Retinal Response to Sinusoidal Electrical Stimulation …

Current state-of-the-art locomotion mode classifiers for controlling robotic lower-limb
prostheses rely on multiple sensors to achieve high accuracy, prediction performance, and …

Intelligent lower-limb prosthesis appears in the public view due to its attractive and potential
functions, which can help amputees restore mobility and return to normal life. To realize the …

Locomotion mode recognition across multiple sessions and days is an indispensable step
towards the practical use of the robotic transtibial prosthesis. In this study, we proposed an …

The paper puts forward an on-board strategy for a training model and develops a real-time
human locomotion mode recognition study based on a trained model utilizing two inertial …

Prediction of locomotion modes is an integral part of control system that determines the
kinematics and dynamics of powered prosthetic and orthotic devices for lower limb …