movement#
A Python toolbox for analysing body movements across space and time, to aid the study of animal behaviour in neuroscience.
Installation, first steps and key concepts.
A gallery of examples using movement.
How to get in touch and contribute.
Overview#
Pose estimation tools, such as DeepLabCut and SLEAP are now commonplace when processing video data of animal behaviour. There is not yet a standardised, easy-to-use way to process the pose tracks produced from these software packages.
movement aims to provide a consistent modular interface to analyse pose tracks, allowing steps such as data cleaning, visualisation and motion quantification. We aim to support a range of pose estimation packages, along with 2D or 3D tracking of single or multiple individuals.
Find out more on our mission and scope statement and our roadmap.
Status
The package is currently in early development and the interface is subject to change. Feel free to play around and provide feedback.
Citation#
If you use movement in your work, please cite the following Zenodo DOI:
Nikoloz Sirmpilatze, Chang Huan Lo, Sofía Miñano, Brandon D. Peri, Dhruv Sharma, Laura Porta, Iván Varela & Adam L. Tyson (2024). neuroinformatics-unit/movement. Zenodo. https://zenodo.org/doi/10.5281/zenodo.12755724