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typo + slight edit on last paragraph of statement of needs
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davidpagnon authored Sep 24, 2024
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Expand Up @@ -45,7 +45,7 @@ A large part of these tools focus on 2D analysis, such as `OpenPose` [@Cao_2019]

In fact, there is a clear trade-off between accuracy and ease-of-use. Some open-source tools focus on the accuracy of a 3D analysis by using multiple cameras, such as `Pose2Sim` [@Pagnon_2022a] or `OpenCap` [@Uhlrich_2022]. These, however, require either a certain level of programming skills, a particular hardware setup, or to send data to a server that does not comply with the European rules of data protection (GDPR). Some other tools choose to put more emphasis on user-friendliness, and point out that 2D analysis is often sufficient when the analyzed motion mostly lies in the sagittal or frontal plane. `Sit2Stand` [@Boswell_2023] and `CP GaitLab` [@Kidzinski_2020] provide such tools, although they are focused on very specific tasks. `Kinovea` [@Kinovea], on the other hand, is a widely used software for sports performance analysis, which provides multiple additional features. However, it relies on tracking manual labels. This can be time-consuming when analyzing numerous videos, and it may also be lacking robustness when the tracked points are lost. It is also only available on Windows, and requires the user to transfer files prior to analysis.

`Sports2D` is an alternative solution that aims at filling this gap: it is free and open-source, straightforward to install and to run, can be run on any platform, can be run locally for data protection, and it automatically provides 2D joint and segment angles without the need for manual annotation. It is also robust and flexible, works in real-time and can be used to process one video, several videos at once, or webcam stream. Multi-person analysis is available, and the output is directly usable for further statistical analysis.
`Sports2D` is an alternative solution that aims at filling this gap: it is free and open-source, straightforward to install and to run, can be run on any platform, can be run locally for data protection, and it automatically provides 2D joint and segment angles without the need for manual annotation. It is also robust and flexible, works in real-time, supports multi-person analysis, and can process one video, several videos simultaneously, or a webcam stream. The output is provided as .trc files for locations and .mot files for angles, which makes it compatible with OpenSim [@Delp_2007; @Seth_2018] and readable by any spreadsheet software for further statistical analysis.


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