Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis-Reference-Cited by-同舟云学术

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Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis

Published:2024-02 Issue:4 Volume:10 Page:e26227
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Guffanti Diego^ORCID,Brunete Alberto^ORCID,Hernando Miguel^ORCID,Álvarez David^ORCID,Rueda Javier^ORCID,Navarro Enrique

Funder

Spain Ministry of Science Innovation and Universities

Publisher

Elsevier BV

Reference35 articles.

1. Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis;Pfister;J. Med. Eng. Technol.,2014

2. Gait assessment using the Microsoft Xbox one kinect: concurrent validity and inter-day reliability of spatiotemporal and kinematic variables;Mentiplay;J. Biomech.,2015

3. Multi RGB-D camera setup for generating large 3D point clouds;Lemkens,2013

4. Machine learning based gait abnormality detection using Microsoft kinect sensor;Shrivastava;Mater. Today Proc.,2021

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1. A Novel Multi-Scaled Deep Convolutional Structure for Punctilious Human Gait Authentication;Biomimetics;2024-06-16

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