Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone
Author:
Affiliation:
1. Insight SFI Centre for Data Analytics, University College Dublin, Dublin, Ireland
2. Output Sports, NovaUCD, University College Dublin, Dublin, Ireland
Funder
Enterprise Ireland
Science Foundation Ireland
Insight SFI Research Centre for Data Analytics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/8782705/10092241/10136215.pdf?arnumber=10136215
Reference26 articles.
1. How to determine leg dominance: The agreement between self-reported and observed performance in healthy adults
2. Gravity as a Reference for Estimating a Person’s Height From Video
3. Gait-based age group classification with adaptive graph neural network;aderinola,2022
4. Three Different Methods of Calculating Vertical Jump Height from Force Platform Data in Men and Women
5. A Markerless Motion Capture System to Study Musculoskeletal Biomechanics: Visual Hull and Simulated Annealing Approach
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. AI‐smartphone markerless motion capturing of hip, knee, and ankle joint kinematics during countermovement jumps;European Journal of Sport Science;2024-08-28
2. MocapMe: DeepLabCut-Enhanced Neural Network for Enhanced Markerless Stability in Sit-to-Stand Motion Capture;Sensors;2024-05-10
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