Deep learning-based improvement of joint angle accuracy for uncalibrated multi-view markerless three-dimensional motion capture.

Kim T, Jung MC, Mo SM

DOI: 10.1080/00140139.2026.2718967
Published: 2026 Aug 20
Container: Ergonomics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/00140139.2026.2718967,
  title = {Deep learning-based improvement of joint angle accuracy for uncalibrated multi-view markerless three-dimensional motion capture.},
  author = {Kim T and Jung MC and Mo SM},
  year = {2026},
  journal = {Ergonomics},
  doi = {10.1080/00140139.2026.2718967},
  url = {https://doi.org/10.1080/00140139.2026.2718967}
}

RIS

TY  - JOUR
TI  - Deep learning-based improvement of joint angle accuracy for uncalibrated multi-view markerless three-dimensional motion capture.
AU  - Kim T
AU  - Jung MC
AU  - Mo SM
PY  - 2026
JO  - Ergonomics
DO  - 10.1080/00140139.2026.2718967
UR  - https://doi.org/10.1080/00140139.2026.2718967
ER  -

APA

T, K., MC, J., & SM, M. (2026). Deep learning-based improvement of joint angle accuracy for uncalibrated multi-view markerless three-dimensional motion capture.. Ergonomics. https://doi.org/10.1080/00140139.2026.2718967

Source records

pubmed · retrieved 2026-09-26T08:57:57.653Z