movementassessmentwithteslasuit

https://github.com/serious-games-darmstadt/movementassessmentwithteslasuit

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
○
DOI references
○
Academic publication links
○
Academic email domains
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (4.1%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: serious-games-darmstadt
Language: C#
Default Branch: master
Size: 2.33 GB

Statistics

Stars: 4
Watchers: 1
Forks: 2
Open Issues: 0
Releases: 0

Created about 4 years ago · Last pushed almost 2 years ago

Metadata Files

Readme Citation

Recognizing Full-Body Activity Execution Errors using the Teslasuit

We developed a method for movement assessment using a full-body haptic motion capture suit. Towards this end, we train probabilistic movement models using the data of 10 inertial sensors of the Teslasuit (https://teslasuit.io) to detect exercise execution errors. The results based on a dataset collected from 15 subjects (see the demonstration video below) show that the approach can detect severe movement execution errors directly during the workout and provide haptic feedback at respective body locations.

Authors

Citation

Caserman, P., Krug, C., & Göbel, S. (2021). Recognizing Full-Body Activity Execution Errors using the Teslasuit [Computer software]. https://github.com/serious-games-darmstadt/MovementAssessmentWithTeslasuit/

https://user-images.githubusercontent.com/92919729/146412280-3c7162e4-a54e-45cd-b7a9-495c1cc956ad.mp4

Owner

Name: Serious Games
Login: serious-games-darmstadt
Kind: organization
Location: Germany

Repositories: 5
Profile: https://github.com/serious-games-darmstadt

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Recognizing Full-Body Activity Execution Errors using the Teslasuit
message: >-
  If you use this software, please cite it using the metadata from this file.
type: Computer software
date-released: 2021-12-15
authors:
  - given-names: Polona
    family-names: Caserman
    email: polona.caserman@tu-darmstadt.de
    affiliation: Technical University of Darmstadt
    orcid: 'https://orcid.org/0000-0002-3252-4533'
  - given-names: Clemens
    family-names: Krug
    email: clemens.krug@stud.tu-darmstadt.de
    affiliation: Technical University of Darmstadt
  - given-names: Stefan
    family-names: Göbel
    email: stefan_peter.goebel@tu-darmstadt.de
    orcid: 'https://orcid.org/0000-0003-3651-8744'
    affiliation: Technical University of Darmstadt
repository-code: >-
  https://github.com/serious-games-darmstadt/MovementAssessmentWithTeslasuit/

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science