IMAGINE

The challenge asks researchers to submit a walking-visualization-tool of gait sequences based on given inertial sensor-based gait recordings acquired using intelligent engineering technology, which was developed at FAU Erlangen-Nürnberg.

Friedrich-Alexander-Universität Erlangen-Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg

Content

Submit your solution here

As solution, we expect the submission to cover the following aspects:

Visualization: Please submit as a result of your work a video that shows a shoe /an avatar moving along a trajectory (given by the provided inertial measurement unit data).

Description: Shortly explain how you solved the visualization task (please describe and reference your methods).

Project code: Please provide your source code (e.g. Matlab, Python or similar format). Take care for sufficient documentation so that your code is fully comprehensible to us, and please make sure that your submitted code will compile with no errors (also on our machines).

We are going to accept late submission until Friday, August 4, 2017! Please submit your work by then.

    Solution Proposal by CSG Group
    1 month ago on the 30.07.2017 19:56 1

    Philipp 1 month ago
    Thank you for your submission! I have forwarded them to the experts for review. Please note, that we are going to accept late submissions until Friday, August 4. If you want, you could also submit additional material or a revised version until then (to provide all participants with equal opportunities)
    Gait Visualisation - Imperial College London!
    The source code and documentation can be downloaded via the following link:
    www.bennyplo.com/bennylo/visualisegait/
    (Please note that real-time visualisation of the gait can be seen directly via the web page)
    1 month ago on the 04.08.2017 20:28 1

    Katharina of Friedrich-Alexander-Universität Erlangen-Nürnberg 1 month ago
    Thank you for your submission! We have forwarded them to the experts for review and we will notify you once the reviews of all results have been completed.
    "Single Stride Gait Analysis and Animation using Python and Blender"

    The team from Universidade do Vale do Rio dos Sinos São Leopoldo (Unisinos) created a single stride gait analysis using Python. The outputs are 3D positions and sensor orientation for each sample. This data is used to generate an Animation in Blender. See ’.zip’ file sent via email for more information.

    Malte Ollenschläger and Vinicius Facco Rodrigues
    1 month ago on the 03.08.2017 15:24

    Angular velocity asymmetry for freezing of gait
    1 month ago on the 28.07.2017 22:35 1

    Philipp 1 month ago
    Thank you for your submission! I have forwarded them to the experts for review. Please note, that we are going to accept late submissions until Friday, August 4. If you want, you could also submit additional material or a revised version until then (to provide all participants with equal opportunities)
    TETRA - Real-TimE step TRajectory visualization for gait Analysis.
    1 month ago on the 28.07.2017 18:50 1

    Philipp 1 month ago
    Thank you for your post, but I do not see an attachment. Could you resubmit it or send it vie email? (Also: please note, that we are going to accept late submissions until Friday, August 4. If you want, you could also submit additional material or a revised version until then - to provide all participants with equal opportunities)
    FAU - Challenge. - Gait Up - Gait Walking Phase Detector.docx
    1 month ago on the 27.07.2017 17:48 1

    Philipp 1 month ago
    Thank you for your submission! I have forwarded them to the experts for review. Please note, that we are going to accept late submissions until Friday, August 4. If you want, you could also submit additional material or a revised version until then (to provide all participants with equal opportunities)
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