Science Score: 67.0%

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
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: ieee.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ami-iit
  • License: cc-by-sa-4.0
  • Default Branch: main
  • Size: 16.6 KB
Statistics
  • Stars: 0
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

Towards a real-world application of wearable sensors for musculoskeletal disorders prevention: the iFeel Wired Suit

D. M. Sortino, L. Rapetti, E. Valli and D. Pucci, "Towards a real-world application of wearable sensors for musculoskeletal disorders prevention: the iFeel Wired Suit" 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), Boston, MA, USA, 2023, pp. 1-4, doi: 10.1109/BSN58485.2023.10331259.
IEEE BODY SENSOR NETOWRK
Paper

Citing this work

If you find the work useful, please consider citing:

bibtex @INPROCEEDINGS{10331259, author={Sortino, Dario Maria and Rapetti, Lorenzo and Valli, Enrico and Pucci, Daniele}, booktitle={2023 IEEE 19th International Conference on Body Sensor Networks (BSN)}, title={Towards a real-world application of wearable sensors for musculoskeletal disorders prevention: the iFeel Wired Suit}, year={2023}, volume={}, number={}, pages={1-4}, keywords={Musculoskeletal system;Tracking;Pipelines;Dynamics;Estimation;Kinematics;Footwear;Wearable sensors;Monitoring;Intelligent sensors;musculoskeletal disorders;wearables;motion tracking}, doi={10.1109/BSN58485.2023.10331259}}

Maintainer

This repository is maintained by:

| | | |:---:|:---:| | | @dariosortino |

Owner

  • Name: Artificial and Mechanical Intelligence
  • Login: ami-iit
  • Kind: organization
  • Location: Italy

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this material, please cite it as below."
url: "https://github.com/ami-iit/paper_sortino_2023_ieeebsn_ifeel-wired-suit"
preferred-citation:
  type: proceedings
  authors:
  - family-names: "Sortino"
    given-names: "Dario Maria"
    orcid: "https://orcid.org/0009-0003-3921-2481"
  - family-names: "Rapetti"
    given-names: "Lorenzo"
    orcid: "https://orcid.org/0000-0003-3071-9676"
  - family-names: "Valli"
    given-names: "Enrico"
    orcid: "https://orcid.org/0000-0002-0126-453X"
  - family-names: "Pucci"
    given-names: "Daniele"
    orcid: "https://orcid.org/0000-0002-7600-3203"
  collection-title: "2023 IEEE 19th International Conference on Body Sensor Networks (BSN)"
  doi: "10.1109/BSN58485.2023.10331259"
  title: "Towards a real-world application of wearable sensors for musculoskeletal disorders prevention: the iFeel Wired Suit"
  year: 2023
  volume: 
  number:
  pages: 1-4

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Last synced: about 1 year ago

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  • Total Commits: 10
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  • Avg Commits per committer: 10.0
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  • Avg Commits per committer: 0.0
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Dario Sortino d****o@i****t 10
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Last synced: about 1 year ago

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  • Average comments per issue: 0
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  • Average comments per issue: 0
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