Machine learning approaches for activity recognition and/or activity prediction in locomotion assistive devices—a systematic review

F Labarrière, E Thomas, L Calistri, V Optasanu… - Sensors, 2020 - mdpi.com
Locomotion assistive devices equipped with a microprocessor can potentially automatically
adapt their behavior when the user is transitioning from one locomotion mode to another …

Online adaptive neural control of a robotic lower limb prosthesis

JA Spanias, AM Simon, SB Finucane… - Journal of neural …, 2018 - iopscience.iop.org
Objective. The purpose of this study was to develop and evaluate an adaptive intent
recognition algorithm that continuously learns to incorporate a lower limb amputee's neural …

Delaying ambulation mode transition decisions improves accuracy of a flexible control system for powered knee-ankle prosthesis

AM Simon, KA Ingraham, JA Spanias… - … on Neural Systems …, 2016 - ieeexplore.ieee.org
Powered lower limb prostheses can assist users in a variety of ambulation modes by
providing knee and/or ankle joint power. This study's goal was to develop a flexible control …

User independent estimations of gait events with minimal sensor data

SR Donahue, L Jin, ME Hahn - IEEE Journal of Biomedical and …, 2020 - ieeexplore.ieee.org
Goal: The purpose of this study was to provide an initial examination of the utility of the Beta
Process-Auto Regressive-Hidden Markov Model (BP-AR-HMM) for the prior identification of …

[PDF][PDF] An Adaptive Pattern Recognition Algorithm for a Powered Lower Limb Prosthesis

JA Spanias - 2016 - scholar.archive.org
Major lower limb amputation (those above the ankle) is a significant impairment to over
650,000 people living in the United States [1]. Prosthetic legs allow lower limb amputees to …

[引用][C] Lower-limb prosthetics

GA Bertos, EG Papadopoulos - Handbook of …, 2018 - Academic Press London