[HTML][HTML] Low limb prostheses and complex human prosthetic interaction: A systematic literature review

A Domínguez-Ruiz, EO López-Caudana… - Frontiers in Robotics …, 2023 - frontiersin.org
A few years ago, powered prostheses triggered new technological advances in diverse
areas such as mobility, comfort, and design, which have been essential to improving the …

3D-printed piezoelectric PLA-based insole for event detection in gait analysis

B Latsch, N Schäfer, M Grimmer, OB Dali… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Detecting human movement is crucial for the control of lower limb wearable robotics
designed to assist daily activities or rehabilitation tasks. Sensorized insoles present a viable …

Construction of human digital twin model based on multimodal data and its application in locomotion mode identification

R Zhong, B Hu, Y Feng, H Zheng, Z Hong… - Chinese Journal of …, 2023 - Springer
With the increasing attention to the state and role of people in intelligent manufacturing,
there is a strong demand for human-cyber-physical systems (HCPS) that focus on human …

Real-time gait phase estimation based on neural network and assistance strategy based on simulated muscle dynamics for an ankle exosuit

Z Wang, C Chen, F Yang, Y Liu, G Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Soft exosuits have been demonstrated to possess the potential to reduce metabolism and
muscle fatigue in human locomotion. How to maximize the user's metabolic benefit and …

Ultra-robust real-time estimation of gait phase

M Shushtari, H Dinovitzer, J Weng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An ultra-robust accurate gait phase estimator is developed by training a time-delay neural
network (D67) on data collected from the hip and knee joint angles of 14 participants during …

A piecewise monotonic gait phase estimation model for controlling a powered transfemoral prosthesis in various locomotion modes

X Chen, C Chen, Y Wang, B Yang, T Ma… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Gait phase-based control is a trending research topic for walking-aid robots, especially
robotic lower-limb prostheses. Gait phase estimation is a challenge for gait phase-based …

Modeling the transitional kinematics between variable-incline walking and stair climbing

S Cheng, E Bolívar-Nieto, CG Welker… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Although emerging powered prostheses can enable people with lower-limb amputation to
walk and climb stairs over different task conditions (eg, speeds and inclines), the control …

Piecewise linear labeling method for speed-adaptability enhancement in human gait phase estimation

W Hong, J Lee, P Hur - IEEE Transactions on Neural Systems …, 2022 - ieeexplore.ieee.org
Human gait phase estimation has been studied in the field of robotics due to its importance
in controlling wearable devices (eg, robotic prostheses or exoskeletons) in a synchronized …

Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket

FA Garcia, JC Pérez-Ibarra, MH Terra… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Gait segmentation may help monitoring the evolution of patients during rehabilitation
treatment through the analysis of properly defined metrics. Many algorithms detect gait …

Bi-Directional Long Short-Term Memory-Based Gait Phase Recognition Method Robust to Directional Variations in Subject's Gait Progression Using Wearable Inertial …

H Jeon, D Lee - Sensors, 2024 - mdpi.com
Inertial Measurement Unit (IMU) sensor-based gait phase recognition is widely used in
medical and biomechanics fields requiring gait data analysis. However, there are several …