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 …
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 …
restoring the biomechanical functions of missing limb (s). To set proper control strategies …
Autonomous multi-joint soft exosuit with augmentation-power-based control parameter tuning reduces energy cost of loaded walking
Background Soft exosuits are a recent approach for assisting human locomotion, which
apply assistive torques to the wearer through functional apparel. Over the past few years …
apply assistive torques to the wearer through functional apparel. Over the past few years …
Real-time adaptation of an artificial neural network for transfemoral amputees using a powered prosthesis
RB Woodward, AM Simon, EA Seyforth… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: We evaluated a two-step method to improve control accuracy for a powered
prosthetic leg using machine learning and adaptation, while reducing subject training time …
prosthetic leg using machine learning and adaptation, while reducing subject training time …
Ambulation mode classification of individuals with transfemoral amputation through a-mode sonomyography and convolutional neural networks
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 …
participate in society, they need to be able to walk on a wide variety of terrains, such as …
Adaptive Locomotion Transition Recognition With Wearable Sensors for Lower Limb Robotic Prosthesis
E Zheng, J Wan, S Gao, Q Wang - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
Locomotion transition recognition with external disturbances is a key issue in lower limb
robotic prostheses. Redonning the prosthetic socket and individual differences are …
robotic prostheses. Redonning the prosthetic socket and individual differences are …
Machine Learning-Based Gait Mode Prediction for Hybrid Knee Prosthesis Control
Recently, hybrid prosthetic knees, which can combine the advantages of passive and active
prosthetic knees, have been proposed for individuals with a transfemoral amputation. Users …
prosthetic knees, have been proposed for individuals with a transfemoral amputation. Users …
[引用][C] Lower-limb prosthetics
GA Bertos, EG Papadopoulos - Handbook of …, 2018 - Academic Press London