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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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/165998 |
| Summary: | 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. |
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