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    • Jupyter Notebook
      0000Updated Dec 1, 2025Dec 1, 2025
    • A repository to hosts any scripts that make use of the Keep Control dataset
      Jupyter Notebook
      0000Updated Nov 28, 2025Nov 28, 2025
    • Python
      0020Updated Aug 13, 2025Aug 13, 2025
    • KielMAT

      Public
      Python based toolbox for processing motion data
      Python
      3990Updated Apr 7, 2025Apr 7, 2025
    • 0000Updated Apr 1, 2025Apr 1, 2025
    • qmt

      Public
      Python
      9000Updated Nov 15, 2024Nov 15, 2024
    • GAMMA 2024 Workshop on Python Programming for Movement Sciences
      Jupyter Notebook
      0200Updated Nov 7, 2024Nov 7, 2024
    • Analyse joint angles from optical motion capture data
      Python
      0100Updated Nov 4, 2024Nov 4, 2024
    • ESMAC 2024 Pre-Conference Seminar on Python programming for Movement Sciences
      Jupyter Notebook
      2210Updated Sep 10, 2024Sep 10, 2024
    • sle

      Public
      Stride Length Estimation
      Python
      0300Updated Apr 19, 2024Apr 19, 2024
    • This repo contains slides from various talks of students/group members/guests held at the weekly group meeting
      0000Updated Mar 26, 2023Mar 26, 2023
    • mobilised

      Public
      Mobilise-D repository to detect gait events from real-life walking bouts
      PureBasic
      1200Updated Oct 13, 2022Oct 13, 2022
    • data

      Public
      HTML
      0000Updated Jul 29, 2022Jul 29, 2022
    • Gait detection in the real world
      MATLAB
      0200Updated May 19, 2022May 19, 2022
    • BraViva Data Organization
      0100Updated Mar 25, 2022Mar 25, 2022
    • fus-data

      Public
      This page is intended as an example for the data organization of all data relating the FUS project at the [Tremor research group](https://www.neurologie.uni-kiel.de/de/tiefe-hirnstimulation). It should help to streamline analysis pipelines and keep projects organized for research partners.
      HTML
      0000Updated Mar 24, 2022Mar 24, 2022
    • pymocap

      Public
      A repository containing scripts for analyzing motion capture data from clinical gait analysis.
      Jupyter Notebook
      0400Updated Dec 13, 2021Dec 13, 2021
    • First few participants from a full-body dataset with inertial measurement units and optical motion capture data.
      0500Updated Oct 27, 2021Oct 27, 2021
    • Repository containing the optimization and source open code of several sensor fusion algorithms for estimating the orientation based on inertial and magnetic sensing
      MATLAB
      8200Updated Apr 28, 2021Apr 28, 2021
    • Data-Driven Gait Event Detection for Parkinson's Disease Patients with Freezing of Gait
      Python
      2000Updated Aug 20, 2020Aug 20, 2020
    • Matlab tools for motion capture analysis, including programmatically running OpenSim, and automatical gap-filling of data.
      MATLAB
      29000Updated Jul 14, 2020Jul 14, 2020
    • sktime

      Public
      A scikit-learn compatible Python toolbox for machine learning with time series
      Python
      1.7k000Updated Jul 14, 2020Jul 14, 2020
    • DeepConvLSTM implemented in python 3 and pytorch
      Jupyter Notebook
      12000Updated Jun 28, 2020Jun 28, 2020
    • py-c3d

      Public
      Read & write C3D mocap files
      Python
      50000Updated May 20, 2020May 20, 2020
    • Open Movement devices are miniature, embeddable, open source sensors developed at Newcastle University, UK. The source code for the firmware and software is available under a BSD 2-clause license, and the hardware (PCB designs, layouts and schematics), enclosure designs and documentation are available under a Creative Commons 3.0 BY Attribution …
      C
      77000Updated Apr 16, 2020Apr 16, 2020
    • GaitPy

      Public
      HTML
      23000Updated Mar 12, 2020Mar 12, 2020
    • Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitor
      Python
      11000Updated Oct 17, 2019Oct 17, 2019
    • Matlab code to estimate gait quality composite score using the methods of van Schooten, Pijnappels, Rispens, Elders, Lips, Daffertshofer, Beek, & van Dieen (2016). PLoS one, 11(7), e0158623.
      MATLAB
      1000Updated Sep 5, 2019Sep 5, 2019
    • This is the official implementation of the paper "A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture"
      Python
      8000Updated Jul 11, 2019Jul 11, 2019
    • Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
      Jupyter Notebook
      120000Updated Jun 3, 2018Jun 3, 2018