A unified library for quantitative movement analysis.
Project description
Movement Analysis Library (Monalysa)
Monalysa, aka Movement analysis library, is a unified python library for the quantitative analysis of sensorimotor behavior. Monalysa provides a set of data structures, functions, and classes for representing, analyzing, and visualizing movement-related data from different technologies (motion capture, inertial measurement units, robots, force/torque sensors, force plates, etc.).
Purpose of the library
In the spirit of open science, the monalysa library provides open-source code for a set of commonly used methods, measures, and tools for analyzing movement data. Such a library can be a step towards the standardization of procedures used for movement analysis.
Who is this library for?
This library is aimed at students, researchers, clinicians and industry professionals working with movement data.
Installing Monalysa
Monalysa is available through PyPI and can be easily installed using the following pip command.
(.venv) $ pip install monalysa
Read the Documentation
You can find the documentation for the Monalysa library at https://monalysa.readthedocs.io/en/latest/.
Contributors
Sivakumar Balasubramanian, Tanya Subash, Alejandro Melendez-Calderon, Camila Shirota.
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