https://github.com/firefly-cpp/tcx-test-files

A collection of the sports activity (tcx) test files
https://github.com/firefly-cpp/tcx-test-files

data-mining data-science garmin-connect tcx-files tcx-parser

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A collection of the sports activity (tcx) test files

• Host: GitHub
• URL: https://github.com/firefly-cpp/tcx-test-files
• Owner: firefly-cpp
• License: cc-by-sa-4.0
• Created: 2022-07-17T14:01:30.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-05-07T11:48:53.000Z (over 1 year ago)
• Last Synced: 2024-11-07T19:49:28.336Z (about 2 months ago)
• Topics: data-mining, data-science, garmin-connect, tcx-files, tcx-parser
• Homepage:
• Size: 562 KB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# A collection of the sports activity (tcx) test files for benchmarking the parsers

This is a **.tcx** sample collection of different sports activities files. The current samples cover **cycling**, **swimming**, **walking**, **running**, and **sup**.

It can serve as a sample for developing sports activities record:

- reader / parser,

- visualizer,

- editor.

For data science solutions more sports activities files are found in the link provided in the references.

We encourage you to use our solution [sport-activities-features](https://github.com/firefly-cpp/sport-activities-features) (Python) for working with **.tcx** files. We also developed a [tcx reader](https://github.com/alenrajsp/tcxreader) (Python).

## What are .tcx files?

[TCX](https://fileinfo.com/extension/tcx) is a file extension used for sports sessions records developed by [Garmin](https://www.garmin.com/). The sports sessions are recorded by Garmin wearable devices (e.g. smartwatch) and are in a XML format.

# References (cycling and running activities)

I. Jr. Fister, S. Rauter, D. Fister, I. Fister. [A collection of sport activity datasets

with an emphasis on powermeter data](http://iztok-jr-fister.eu/static/publications/206.pdf). Technical report, University of Maribor, 2017.

# Further reading

Rauter, Samo, Iztok Fister, and Iztok Fister Jr. "[How to deal with sports activity datasets for data mining and analysis: Some tips and future challenges](https://www.iztok-jr-fister.eu/static/publications/76.pdf)." International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) 7.2 (2015): 27-37.

# License

Shield: [![CC BY-SA 4.0][cc-by-sa-shield]][cc-by-sa]

Material in this folder is licensed under a

[Creative Commons Attribution-ShareAlike 4.0 International License][cc-by-sa].

[![CC BY-SA 4.0][cc-by-sa-image]][cc-by-sa]

[cc-by-sa]: http://creativecommons.org/licenses/by-sa/4.0/

[cc-by-sa-image]: https://licensebuttons.net/l/by-sa/4.0/88x31.png

[cc-by-sa-shield]: https://img.shields.io/badge/License-CC%20BY--SA%204.0-lightgrey.svg