A skeleton-based method and benchmark for real-time action classification of functional movement screen-Reference-Cited by-同舟云学术

A skeleton-based method and benchmark for real-time action classification of functional movement screen

Published:2022-09 Issue: Volume:102 Page:108151
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Wenbo Wang,Chongwen Wang^ORCID

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference26 articles.

1. Functional movement screening: The use of fundamental movements as an assessment of function-part 1;Cook;Int J Sports Phys Therapy,2014

2. Functional movement screening: the use of fundamental movements as an assessment of function-part 2;Cook;Int J Sports Phys Therapy,2014

3. Symbiotic graph neural networks for 3D skeleton-based human action recognition and motion prediction;Li;IEEE Trans Pattern Anal Mach Intell,2022

4. Real-time human action recognition using locally aggregated kinematic-guided skeletonlet and supervised hashing-by-analysis model;Sun;IEEE Trans Cybern,2021

5. Rgb+2d skeleton: Local hand-crafted and 3D convolution feature coding for action recognition;Zhang;Signal, Image Video Process,2021

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1. Automatic Evaluation of Functional Movement Screening Based on Attention Mechanism and Score Distribution Prediction;Mathematics;2023-12-12

2. Effective Quantization Evaluation Method of Functional Movement Screening with Improved Gaussian Mixture Model;Applied Sciences;2023-06-25