Human Action Recognition and Note Recognition: A Deep Learning Approach Using STA-GCN

Avirmed Enkhbat, Timothy K. Shih, Pimpa Cheewaprakobkit

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DOI: 10.3390/s24082519
Published: 2024-04-14
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s24082519,
  title = {Human Action Recognition and Note Recognition: A Deep Learning Approach Using STA-GCN},
  author = {Avirmed Enkhbat and Timothy K. Shih and Pimpa Cheewaprakobkit},
  year = {2024},
  journal = {Sensors},
  doi = {10.3390/s24082519},
  url = {https://doi.org/10.3390/s24082519}
}

RIS

TY  - JOUR
TI  - Human Action Recognition and Note Recognition: A Deep Learning Approach Using STA-GCN
AU  - Avirmed Enkhbat
AU  - Timothy K. Shih
AU  - Pimpa Cheewaprakobkit
PY  - 2024
JO  - Sensors
DO  - 10.3390/s24082519
UR  - https://doi.org/10.3390/s24082519
ER  -

APA

Enkhbat, A., Shih, T. K., & Cheewaprakobkit, P. (2024). Human Action Recognition and Note Recognition: A Deep Learning Approach Using STA-GCN. Sensors. https://doi.org/10.3390/s24082519

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crossref · retrieved 2026-09-26T16:13:44.752Z