Article

Personalized lower limb gait reconstruction modeling based on RFA-ProMP

2023-10-31

Abstract excerpt

To generate personalized gait reference trajectories for lower limb rehabilitation exoskeletons tailored to patients with different body types, we propose a combination of a random forest algorithm (RFA) with an attention mechanism and a mimicry learning method called Probabilistic Movement Primitives (ProMP). This approach aims to establish a personalized lower limb gait reconstruction model. Firstly, the RFA is...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 96c9e4b0-5b02-50da-846a-4d6e0ee6ac8e
DOI: 10.21203/rs.3.rs-3499158/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Personalized lower limb gait reconstruction modeling based on RFA-ProMPDOI 10.21203/rs.3.rs-3499158/v1Read

Effects of Individualized Gait Rehabilitation Robotics for Gait Training on Hemiplegic Patients: Before-After Study in The Same PersonSemantic proximity Read

Experiment-free exoskeleton assistance via learning in simulationSemantic proximity Read

A Systematic Review of Machine Learning in Robotics-Assisted RehabilitationSemantic proximity Read

Can predictive simulations of walker-assisted gait using calibrated muscle models capture subject-specific walking features in individuals with spinal cord injury?Semantic proximity Read

Coordinated Human-Exoskeleton Locomotion Emerges from Regulating Virtual EnergySemantic proximity Read

Synergy-based Feedforward with Minimal Feedback Control Predicts Walking Over Multiple CyclesSemantic proximity Read

GaitDynamics: A Generative Foundation Model for Analyzing Human Walking and RunningSemantic proximity Read

A Unilateral Robotic Knee Exoskeleton to Assess the Role of Natural Gait Assistance in Hemiparetic PatientsSemantic proximity Read

A simple CPG-based model to generate human hip moment pattern in walking by generating stiffness and equilibrium point trajectoriesSemantic proximity Read

A Closed-Loop Intelligent Management System for Postoperative Orthopedic Rehabilitation: Integrating Deep Reinforcement Learning with Wearable Sensing and Prognostic PredictionSemantic proximity Read

Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamicsSemantic proximity Read

The Neuromusculoskeletal Modeling Pipeline: MATLAB-based Model Personalization and Treatment Optimization Functionality for OpenSimSemantic proximity Read