Git Product home page Git Product logo

nagyistge / biomechzoo Goto Github PK

View Code? Open in Web Editor NEW

This project forked from phild001/biomechzoo

0.0 2.0 0.0 246.49 MB

biomechZoo is a user-customizable toolbox for the analysis of biomechanical data within the MatLab programming environment. Please take a look at the Wiki for setup information and user instructions.

Home Page: https://github.com/PhilD001/biomechZoo/wiki

License: Apache License 2.0

MATLAB 98.35% M 0.18% Java 0.04% Objective-C 0.04% Mathematica 1.39%

biomechzoo's Introduction

01.11.2016 README for biomechZoo repository

biomechZoo s a user-customizable toolbox for the processing, analysis, and visualization of biomechanical movement data.

Summary: Movement data often contain variables recorded over time, for many subjects, groups, or conditions. The biomechZoo toolbox provides tools to help users achieve sort, process, statistically analyze, and visualize these data.

Audience: biomechZoo can help those new to programming / biomechanics to quickly process their data by providing a framework from which to create a streamlined processing workflow. Advanced users are encouraged to contribute to the biomechZoo project by providing additional functions.

Web: Find more information at http://biomechZoo.com

Getting started:

  • Download this repository (click on green button 'Clone or download' on the right of the repository page)
  • Start Matlab
  • Open and run 'startZoo.m' located in the root biomechZoo folder to set your Matlab path

Help: Help for biomechZoo can be accessed via the biomechZoo-help repository (https://github.com/PhilD001/biomechZoo-help). This repository provides exercises, sample data, and other resources to help the user get started with biomechZoo. Additional help may be obtained via seminars (see website for announcements) or by contacting the main author.

Additional Software / Platform information: Matlab (The Mathworks Inc., Natick, USA) v2016a or newer software running, at minimum, the Signal processing and Statistics toolboxes

The biomechZoo toolbox, was tested on Mac (OSX 10.11.5, Matlab v2016b) and Windows 10 Enterprise (Matlab 2015a and 2016a) platforms. biomechZoo has not been tested on Linux machines.

Users interested in developing a version of biomechZoo to run in an open-source programming environment such as Python should email the main author

Contact: philippe dot dixon at gmail dot com

biomechzoo's People

Contributors

phild001 avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.