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A review of current state-of-the-art control methods for lower-limb powered prostheses
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 …
amputations. While the design of lower-limb prostheses is important, this paper focuses on …
Wearable sensor-based real-time gait detection: A systematic review
Gait analysis has traditionally been carried out in a laboratory environment using expensive
equipment, but, recently, reliable, affordable, and wearable sensors have enabled …
equipment, but, recently, reliable, affordable, and wearable sensors have enabled …
Wearable inertial sensors for human movement analysis: a five-year update
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 …
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
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 …
robotic controllers that specify how lower-limb exoskeletons should interact with brain …
Advancements, trends and future prospects of lower limb prosthesis
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 …
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 …
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 …
applications. Human gait phase recognition is the crucial technology for recognizing …
Deep learning approaches for enhanced lower-limb exoskeleton control: A review
Recent advancements in robotics have pushed the development of active exoskeletons and
orthoses for assistive, augmentative, and rehabilitative purposes. Deep Learning …
orthoses for assistive, augmentative, and rehabilitative purposes. Deep Learning …
Co-simulation of human digital twins and wearable inertial sensors to analyse gait event estimation
We propose a co-simulation framework comprising biomechanical human body models and
wearable inertial sensor models to analyse gait events dynamically, depending on inertial …
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
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 …
a lower-limb exoskeleton robot. In the proposed method, a metric learning-based temporal …