A proposed computer vision model for running gait assessment

Author:

Young Fraser1,Mason Rachel1,Moore Jason1,Stuart Samuel2,Morris Rosie1,Godfrey Alan3

Affiliation:

1. National Institute of Standards and Technology,Boulder,CO,USA,80305

2. Rice University,Houston,TX,USA,77005

3. University of Colorado,Electrical Engineering Department,Boulder,CO,USA,80309

Funder

ABC Foundation

Publisher

IEEE

Reference31 articles.

1. Tensorflow lite: On-device machine learning framework;li;Journal of Computer research and development,2020

2. Occlusion-Aware Real-Time Object Tracking

3. A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System

4. Camera Pose Estimation of a Smartphone at a Field without Interest Points

5. Investigating the Effect of Head Movement during Running and Its Results in Record Time Using Computer Vision;almasi;International Journal of Applied Engineering Research,2018

Cited by 1 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. GaitSynergy: Redefining Gait Analysis with Vision-EMG Convergence for Precise Neuro-Muscular Evaluation;2023 6th International Conference on Advances in Science and Technology (ICAST);2023-12-08

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