Hello and welcome to the CMAS open-code project! 🎉
Our goal is to create an online platform where everyone interested in movement analysis can share coding resources.
Why? Using movement analysis code can save time and reduce errors by automating routine tasks, and produce new insights by enabling complex calculations.
However, not everyone has the skills or time to learn how to develop their own code.
🌟 This project is the answer! 🌟 Here we will share code, and include step-by-step tutorials on how to develop and use it.
People with technical skills will be able to collaborate, create new tools, and easily share them among all movement analysis labs.
Is this you? Tell us a bit about yourself (you may need to create a new Github account if you don't already have one). Do you have code you are thinking of sharing? Let us know about it. Are you ready to contribute? Have a look at our contributing guidelines. And sign up to our mailing list to get updates about the project!
Coding beginners who are keen to develop their skills will find a library of tutorials and example code to support their learning.
Is this you? Tell us a bit about yourself (follow the instructions on the page to create a new Github account, if you don't already have one). And if there is a particular coding language you are interested in, let us know about that too! We are in the process of creating learning resources specific to movement analysis, so sign up to our mailing list and we will let you know when they are available.
People who would like to use code but do not have time or interest in developing it themselves, will be able to easily find relevant resources, with instructions and examples of use.
Is this you? Tell us a bit about yourself (and create a new Github account if you need to). If you are looking for code to solve a particular problem, please create a new issue and describe the problem. Sign up to our mailing list to get updates about the project!
Clinical movement analysis involves the measurement of human movement, typically walking, to help understand pathologies that affect movement.
For example, after a stroke, the damage to the brain can cause an arm or leg to become weak or paralysed, making movement difficult. Another example is amputation, which requires a patient to be fitted with a prosthetic leg.
Clinical movement analysis provides information to the clinicians about the damage caused by the stroke, or the performance of the prosthetic leg.
The equipment used in movement analysis include 2D video, 3D computerised motion capture, force and muscle activity measurements.
You can read more about movement analysis here.
Thanks for your interest in contributing to CMAS open-code! There are many ways to contribute. To get started, take a look at CONTRIBUTING.md.
This project adheres to a code of conduct. By participating, you are expected to uphold this code. Please report unacceptable behaviour to Dimitra.