Article

Crouch Gait Recognition in the Anatomical Space using Synthetic Gait Data

2024-10-09

Abstract excerpt

Crouch gait is one of the most common gait abnormalities. In the literature, there are few works related to the crouch gait recognition. In this work, we aim at the integration of a framework for multiclass crouch gait recognition using synthetic eight-DoF model gait data in anatomical space. The main contribution of our study is the joint function generator algorithm, which could be used to generate other physiol...

Topics

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

Identifiers and source

Literature Corpus work: 246777f7-8a59-5053-a7f2-a071cfb58e82
DOI: 10.20944/preprints202410.0664.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Crouch Gait Recognition in the Anatomical Space using Synthetic Gait DataDOI 10.20944/preprints202410.0664.v1Read

Quantitative gait analysis and prediction usingartificial intelligence for patients with gait disordersSemantic proximity Read

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

Identifying Key Gait Features in Stroke Patients: A Machine Learning Approach with Supervised and Unsupervised ValidationSemantic proximity Read

Automatic Evaluation of Strephenopodia Based on Plantar Pressure and Machine Learning: A Pilot StudySemantic proximity Read

Artificial Intelligence for automatic movement recognition: a network-based approachSemantic proximity Read

Towards invariance in gait recognitionSemantic proximity Read

Portable in-clinic video-based gait analysis: validation study on prosthetic usersSemantic proximity Read

Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and ArchitecturesSemantic proximity Read

Phenotyping Functional Gait Disorder: An Exploratory Analysis of Existing Frameworks.Semantic proximity Read

An Advanced Attention-Enhanced Hybrid Deep Learning Model for WBSNs’ Gait Pattern RecognitionSemantic proximity Read

Novel approaches to statistical shape modelling of boneSemantic proximity Read

A comprehensive deep learning model for motor phenotypes of Parkinson's disease using three-dimensional kinect V2 detectors.Semantic proximity Read