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 …

A review of terrain detection systems for applications in locomotion assistance

AHA Al-dabbagh, R Ronsse - Robotics and Autonomous Systems, 2020 - Elsevier
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 …

Environmental features recognition for lower limb prostheses toward predictive walking

K Zhang, C Xiong, W Zhang, H Liu, D Lai… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper aims to present a robust environmental features recognition system (EFRS) for
lower limb prosthesis, which can assist the control of prosthesis by predicting the locomotion …

A subvision system for enhancing the environmental adaptability of the powered transfemoral prosthesis

K Zhang, J Luo, W Xiao, W Zhang, H Liu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Visual information is indispensable to human locomotion in complex environments.
Although amputees can perceive the environmental information by eyes, they cannot …

Understanding LSTM network behaviour of IMU-based locomotion mode recognition for applications in prostheses and wearables

F Sherratt, A Plummer, P Iravani - Sensors, 2021 - mdpi.com
Human Locomotion Mode Recognition (LMR) has the potential to be used as a control
mechanism for lower-limb active prostheses. Active prostheses can assist and restore a …

IMU-based locomotion mode identification for transtibial prostheses, orthoses, and exoskeletons

F Gao, G Liu, F Liang, WH Liao - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
Active transtibial prostheses, orthoses, and exoskeletons hold the promise of improving the
mobility of lower-limb impaired or amputated individuals. Locomotion mode identification …

[HTML][HTML] Noninvasive human-prosthesis interfaces for locomotion intent recognition: A review

D Xu, Q Wang - Cyborg and Bionic Systems, 2021 - spj.science.org
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 …

Toward the development of user-centered neurointegrated lower limb prostheses

F Barberi, E Anselmino, A Mazzoni… - IEEE reviews in …, 2023 - ieeexplore.ieee.org
The last few years witnessed radical improvements in lower-limb prostheses. Researchers
have presented innovative solutions to overcome the limits of the first generation of …

Ultrasound sensing can improve continuous classification of discrete ambulation modes compared to surface electromyography

KG Rabe, MH Jahanandish, JR Boehm… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Clinical translation of “intelligent” lower-limb assistive technologies relies on robust control
interfaces capable of accurately detecting user intent. To date, mechanical sensors and …

Unsupervised cross-subject adaptation for predicting human locomotion intent

K Zhang, J Wang, CW de Silva… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Accurately predicting human locomotion intent is beneficial in controlling wearable robots
and in assisting humans to walk smoothly on different terrains. Traditional methods for …