Analysis of running form with keypoint R-CNN

Good running form is extremely important for runners to avoid injury and to improve performance. However, most casual runners do not have access to a running coach who can help to correct their running form. Hence, this project aims to use computer vision to analyze running form by using Pytorch...

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Main Author: Ng, Darren Jun Heng
Other Authors: Ng Wee Keong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/165998
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1659982023-04-28T15:40:22Z Analysis of running form with keypoint R-CNN Ng, Darren Jun Heng Ng Wee Keong School of Computer Science and Engineering AWKNG@ntu.edu.sg Engineering::Computer science and engineering Good running form is extremely important for runners to avoid injury and to improve performance. However, most casual runners do not have access to a running coach who can help to correct their running form. Hence, this project aims to use computer vision to analyze running form by using Pytorch's Keypoint R-CNN, a Human Pose Estimation model, which detects certain important points in the human body. This project creates a simple tool that casual runners can use to analyze their own running form. Bachelor of Engineering (Computer Science) 2023-04-27T12:19:19Z 2023-04-27T12:19:19Z 2023 Final Year Project (FYP) Ng, D. J. H. (2023). Analysis of running form with keypoint R-CNN. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165998 https://hdl.handle.net/10356/165998 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle Engineering::Computer science and engineering
Ng, Darren Jun Heng
Analysis of running form with keypoint R-CNN
description Good running form is extremely important for runners to avoid injury and to improve performance. However, most casual runners do not have access to a running coach who can help to correct their running form. Hence, this project aims to use computer vision to analyze running form by using Pytorch's Keypoint R-CNN, a Human Pose Estimation model, which detects certain important points in the human body. This project creates a simple tool that casual runners can use to analyze their own running form.
author2 Ng Wee Keong
author_facet Ng Wee Keong
Ng, Darren Jun Heng
format Final Year Project
author Ng, Darren Jun Heng
author_sort Ng, Darren Jun Heng
title Analysis of running form with keypoint R-CNN
title_short Analysis of running form with keypoint R-CNN
title_full Analysis of running form with keypoint R-CNN
title_fullStr Analysis of running form with keypoint R-CNN
title_full_unstemmed Analysis of running form with keypoint R-CNN
title_sort analysis of running form with keypoint r-cnn
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/165998
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