A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications

Yumin Zhang, Yanyong Wang

Open source

DOI: 10.1186/s13640-025-00677-0
Published: 2025-08-13
Container: EURASIP Journal on Image and Video Processing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s13640-025-00677-0,
  title = {A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications},
  author = {Yumin Zhang and Yanyong Wang},
  year = {2025},
  journal = {EURASIP Journal on Image and Video Processing},
  doi = {10.1186/s13640-025-00677-0},
  url = {https://doi.org/10.1186/s13640-025-00677-0}
}

RIS

TY  - JOUR
TI  - A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications
AU  - Yumin Zhang
AU  - Yanyong Wang
PY  - 2025
JO  - EURASIP Journal on Image and Video Processing
DO  - 10.1186/s13640-025-00677-0
UR  - https://doi.org/10.1186/s13640-025-00677-0
ER  -

APA

Zhang, Y., & Wang, Y. (2025). A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications. EURASIP Journal on Image and Video Processing. https://doi.org/10.1186/s13640-025-00677-0

Source records

crossref · retrieved 2026-09-26T01:49:28.065Z