Giter Club home page Giter Club logo

ericdugan's Projects

awesome-biomechanics icon awesome-biomechanics

A curated, public list collecting resources for biomechanics and human motion: datasets, processing tools, software for simulation, educational videos, lectures, etc.

cr1d icon cr1d

Confidence and prediction intervals for 0D and 1D data

crp_irregular_surfaces icon crp_irregular_surfaces

Code to accompany the manuscript on continuous relative phase analysis of gait over irregular surfaces

fda icon fda

MATLAB FDA repository developed by Jim Ramsay (his original code)

fda-pca-spm icon fda-pca-spm

Material associated with the 2018 Dublin seminar: "Advanced statistical analysis of biomechanical time series: PCA, FDA and SPM"

fdarely icon fdarely

Reliability measures for functional data

gaitfeature icon gaitfeature

R package to detect features/pattern/deviations in kinematics curves from gait analysis

gramm icon gramm

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

imu-sensor-placement-optimization icon imu-sensor-placement-optimization

Data and code for analysis presented in Sensors journal manuscript titled "Optimization of IMU Sensor Placement for the Measurement of Lower Limb Joint Kinematics" by W. Niswander, W. Wang, and K. Kontson.

jumpsfda icon jumpsfda

Functional data analysis of countermovement jump data. It creates linear models from component scores based on a range of data processing techniques, including curve registration.

lrp_toolbox icon lrp_toolbox

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

mdrqa icon mdrqa

This repository contains additional resources to the article "Multidimensional Recurrence Quantification Analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation in MATLAB and its application to group-level data in joint action", Frontiers in Psychology, by Wallot, Roepstorff & Mønster, as well as to the article "Analyzing Multivariate Dynamics Using Cross-Recurrence Quantification Analysis (CRQA), Diagonal-Cross-Recurrence Profiles (DCRP), and Multidimensional Recurrence Quantification Analysis (MdRQA) – A Tutorial in R" by Wallot & Leonardi

mokka icon mokka

Open-source and cross-platform software to easily analyze biomechanical data

mwarp1d icon mwarp1d

Manual one-dimensional data warping and nonlinear registration in Python and PyQt

nlreg1d icon nlreg1d

Code and data associated with nonlinear registration paper

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.