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 …

[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 …

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 …

Ambulation mode classification of individuals with transfemoral amputation through a-mode sonomyography and convolutional neural networks

R Murray, J Mendez, L Gabert, NP Fey, H Liu, T Lenzi - Sensors, 2022 - mdpi.com
Many people struggle with mobility impairments due to lower limb amputations. To
participate in society, they need to be able to walk on a wide variety of terrains, such as …

Electromyography-based control of lower limb prostheses: a systematic review

B Ahkami, K Ahmed, A Thesleff… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Most amputations occur in lower limbs and despite improvements in prosthetic technology,
no commercially available prosthetic leg uses electromyography (EMG) information as an …

Effect of additional mechanical sensor data on an EMG-based pattern recognition system for a powered leg prosthesis

JA Spanias, AM Simon, KA Ingraham… - 2015 7th International …, 2015 - ieeexplore.ieee.org
Powered lower limb prostheses can improve amputees' ability to traverse stairs and ramps
by providing positive mechanical work at the knee and ankle joint. EMG signals have been …

Adaptive lower limb pattern recognition for multi-day control

RV Schulte, EC Prinsen, JH Buurke, M Poel - Sensors, 2022 - mdpi.com
Pattern recognition in EMG-based control systems suffer from increase in error rate over
time, which could lead to unwanted behavior. This so-called concept drift in myoelectric …

Preliminary results for an adaptive pattern recognition system for novel users using a powered lower limb prosthesis

JA Spanias, AM Simon, EJ Perreault… - 2016 38th Annual …, 2016 - ieeexplore.ieee.org
Powered prosthetic legs are capable of improving the gait of lower limb amputees. Pattern
recognition systems for these devices allow amputees to transition between different …

Similar trial-by-trial adaptation behavior across transhumeral amputees and able-bodied subjects

RE Johnson, KP Kording, LJ Hargrove… - 2015 7th …, 2015 - ieeexplore.ieee.org
EMG control of powered upper limb prostheses is difficult and imprecise. One approach for
improving control is to help amputees develop more accurate internal models of their …

Locomotion Decoding (LocoD)–an Open-Source and Modular Platform for Researching Control of Lower Limb Assistive Devices

B Ahkami, MB Kristoffersen… - Morten Bak and Ortiz …, 2023 - papers.ssrn.com
Abstract Background and Objective: Commercially available motorized prosthetic legs use
exclusively non-biological signals to control movements, such as those provided by load …