Results 11 to 20 of about 252,559 (175)
A Piecewise Monotonic Gait Phase Estimation Model for Controlling a Powered Transfemoral Prosthesis in Various Locomotion Modes [PDF]
in IEEE Robotics and Automation Letters, vol. 7, no. 4, pp.
9549-9556, Oct. 2022, 2022 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 control. Previous researches used the integration or the differential of the human's thigh angle to estimate the gait phase, but accumulative measurement errors and noises can ...
arxiv +1 more source
Sensors, 2021 The present study compared the effect between walking exercise and a newly developed sensor-based gait retraining on the peaks of knee adduction moment (KAM), knee adduction angular impulse (KAAI), knee flexion moment (KFM) and symptoms and functions in ...
Sizhong Wang +9 more
doaj +1 more source
Space Weather, 2020 The Space Ionizing Radiation Environment and Effects (SIRE2) toolkit has been developed to update and extend the tools used by the space and radiation effects community.
J. H. Adams Jr. +9 more
doaj +1 more source
Frontiers in Neurology, 2021 This cross-sectional study aimed to examine the development of lower limb voluntary strength in 160 ambulatory patients with bilateral spastic cerebral palsy (CP) (106 diplegics/54 quadriplegics) and 86 typically developing (TD) controls, aged 7–16 years.
Nicolaos Darras +7 more
doaj +1 more source
Life, 2021 Multibody optimisation approaches have not seen much use in routine clinical applications despite evidence of improvements in modelling through a reduction in soft tissue artifacts compared to the standard gait analysis technique of direct kinematics. To
Claude Fiifi Hayford +4 more
doaj +1 more source
Learning Multiple Gaits within Latent Space for Quadruped Robots [PDF]
arXiv, 2023 Learning multiple gaits is non-trivial for legged robots, especially when encountering different terrains and velocity commands. In this work, we present an end-to-end training framework for learning multiple gaits for quadruped robots, tailored to the needs of robust locomotion, agile locomotion, and user's commands.
arxiv
Applied Sciences, 2023 Equinus and equinovarus foot deviations (EVFD) are the most frequent lower limb acquired deformities in stroke survivors. We analysed the contribution that the tibialis anterior (TA), extensor digitorum longus (EDL) and plantarflexor muscles play in EVFD
Carlo Albino Frigo +3 more
doaj +1 more source
Four-dimensional Gait Surfaces for A Tilt-rotor -- Two Color Map Theorem [PDF]
arXiv, 2022 This article presents the four-dimensional surfaces which instruct the gait plan for a tilt-rotor. The previous gaits analyzed in the tilt-rotor research are inspired by animals; no theoretical base backs the robustness of these gaits. This research deduces the gaits by diminishing the effect of the attitude of the tilt-rotor for the first time.
arxiv
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition [PDF]
arXiv, 2021 Gait recognition plays a vital role in human identification since gait is a unique biometric feature that can be perceived at a distance. Although existing gait recognition methods can learn gait features from gait sequences in different ways, the performance of gait recognition suffers from insufficient labeled data, especially in some practical ...
arxiv
Optimal Gait Families using Lagrange Multiplier Method [PDF]
arXiv, 2022 The robotic locomotion community is interested in optimal gaits for control. Based on the optimization criterion, however, there could be a number of possible optimal gaits. For example, the optimal gait for maximizing displacement with respect to cost is quite different from the maximum displacement optimal gait. Beyond these two general optimal gaits,
arxiv