|  | 
| 2 | 2 | ## Expressive movement analysis toolkit | 
| 3 | 3 | *A modern, modular, and accessible Python library for expressive movement analysis — bridging research, health, and the arts*   | 
| 4 | 4 | 
 | 
| 5 |  | -[](https://pypi.org/project/pyeyesweb/)   | 
| 6 |  | -[](https://infomuscp.github.io/PyEyesWeb/)   | 
|  | 5 | +[](https://pypi.org/project/pyeyesweb/) | 
|  | 6 | +[](https://infomuscp.github.io/PyEyesWeb/) | 
| 7 | 7 | [](LICENSE)  | 
| 8 | 8 | 
 | 
| 9 | 9 | `PyEyesWeb` is a research toolkit for extracting quantitative features from human movement data.   | 
| @@ -33,9 +33,9 @@ window.append([motion_data]) | 
| 33 | 33 | 
 | 
| 34 | 34 | sparc, jerk = smoothness(window) | 
| 35 | 35 | ``` | 
| 36 |  | -!!! tip | 
| 37 |  | -    For more advanced and complete use cases see the [Documentation](https://infomuscp.github.io/PyEyesWeb/) | 
| 38 |  | -    and the [examples](examples) folder. | 
|  | 36 | +> [!TIP] | 
|  | 37 | +> For more advanced and complete use cases see the [Documentation](https://infomuscp.github.io/PyEyesWeb/) | 
|  | 38 | +> and the [examples](examples) folder. | 
| 39 | 39 | 
 | 
| 40 | 40 | ## Documentation | 
| 41 | 41 | 
 | 
| @@ -83,20 +83,6 @@ Contributions to `PyEyesWeb` are welcome! Whether it's reporting bugs, adding fe | 
| 83 | 83 | 4. Submit a pull request to the `main` branch, with a clear description of your changes. | 
| 84 | 84 | 5. Engage in code reviews and address any feedback provided by maintainers. | 
| 85 | 85 | 
 | 
| 86 |  | -## Citation | 
| 87 |  | -
 | 
| 88 |  | -If you use `PyEyesWeb` in your research, please cite it as follows: | 
| 89 |  | -
 | 
| 90 |  | -### BibTeX | 
| 91 |  | -```bibtex | 
| 92 |  | -@misc{pyeyesweb2025, | 
| 93 |  | -  title        = {PyEyesWeb: A Python Toolkit for Expressive Movement Analysis}, | 
| 94 |  | -  author       = {InfoMus Lab – Casa Paganini}, | 
| 95 |  | -  year         = {2025}, | 
| 96 |  | -  howpublished = {\url{https://github.com/infomuscp/PyEyesWeb}} | 
| 97 |  | -} | 
| 98 |  | -``` | 
| 99 |  | -
 | 
| 100 | 86 | ## Authors & Acknowledgments | 
| 101 | 87 | 
 | 
| 102 | 88 | `PyEyesWeb` is developed by [**InfoMus Lab – Casa Paganini**](http://www.casapaganini.org/index_eng.php){:target="_blank"}, University of Genoa, as part of the **[Resilence EU Project](https://www.resilence.eu/)**, funded by the European Union’s Horizon programme.   | 
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