A review of current state-of-the-art control methods for lower-limb powered prostheses

R Gehlhar, M Tucker, AJ Young, AD Ames - Annual Reviews in Control, 2023 - Elsevier
Lower-limb prostheses aim to restore ambulatory function for individuals with lower-limb
amputations. While the design of lower-limb prostheses is important, this paper focuses on …

Wearable sensor-based real-time gait detection: A systematic review

H Prasanth, M Caban, U Keller, G Courtine, A Ijspeert… - Sensors, 2021 - mdpi.com
Gait analysis has traditionally been carried out in a laboratory environment using expensive
equipment, but, recently, reliable, affordable, and wearable sensors have enabled …

Wearable inertial sensors for human movement analysis: a five-year update

P Picerno, M Iosa, C D'Souza… - Expert review of …, 2021 - Taylor & Francis
Introduction The aim of the present review is to track the evolution of wearable IMUs from
their use in supervised laboratory-and ambulatory-based settings to their application for long …

Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness

J de Miguel-Fernández, J Lobo-Prat, E Prinsen… - … of neuroengineering and …, 2023 - Springer
Background In the past decade, there has been substantial progress in the development of
robotic controllers that specify how lower-limb exoskeletons should interact with brain …

Advancements, trends and future prospects of lower limb prosthesis

M Asif, MI Tiwana, US Khan, WS Qureshi, J Iqbal… - IEEE …, 2021 - ieeexplore.ieee.org
Amputees with lower limb loss need special care during daily life activities to make the
movement natural as before amputation. No such work exists covering the main aspects …

Recent advances in pedestrian navigation activity recognition: A review

Q Wang, H Luo, J Wang, L Sun, Z Ma… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Pedestrian navigation activity recognition (PNAR) has a significant impact on positioning
and tracking performance. Smartphone-based PNAR utilizes measurements from sensors …

Gait phase recognition of lower limb exoskeleton system based on the integrated network model

Z Zhang, Z Wang, H Lei, W Gu - Biomedical Signal Processing and Control, 2022 - Elsevier
Exoskeleton robots have become an emerging technology in medical, industrial and military
applications. Human gait phase recognition is the crucial technology for recognizing …

Deep learning approaches for enhanced lower-limb exoskeleton control: A review

M Belal, N Alsheikh, A Aljarah, I Hussain - IEEE Access, 2024 - ieeexplore.ieee.org
Recent advancements in robotics have pushed the development of active exoskeletons and
orthoses for assistive, augmentative, and rehabilitative purposes. Deep Learning …

Co-simulation of human digital twins and wearable inertial sensors to analyse gait event estimation

L Uhlenberg, A Derungs, O Amft - Frontiers in Bioengineering and …, 2023 - frontiersin.org
We propose a co-simulation framework comprising biomechanical human body models and
wearable inertial sensor models to analyse gait events dynamically, depending on inertial …

Metric learning for robust gait phase recognition for a lower limb exoskeleton robot based on sEMG

J Liu, C Wang, B He, P Li, X Wu - IEEE Transactions on Medical …, 2022 - ieeexplore.ieee.org
This study aims to develop a robust myoelectric control method for gait phase recognition in
a lower-limb exoskeleton robot. In the proposed method, a metric learning-based temporal …