Benchmarking action recognition models for self-harm detection in studio and real-world datasets

Kanghee Lee, Doohee Lee, Hyun-Sik Ham, Hee-Cheol Kim, Yourack Lee, Hyun-Ghang Jeong, Hyun-Soo Choi

Open source

DOI
10.1038/s41598-026-36999-w
Published
2026-01-31
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41598-026-36999-w,
  title = {Benchmarking action recognition models for self-harm detection in studio and real-world datasets},
  author = {Kanghee Lee and Doohee Lee and Hyun-Sik Ham and Hee-Cheol Kim and Yourack Lee and Hyun-Ghang Jeong and Hyun-Soo Choi},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-36999-w},
  url = {https://doi.org/10.1038/s41598-026-36999-w}
}

RIS

TY  - JOUR
TI  - Benchmarking action recognition models for self-harm detection in studio and real-world datasets
AU  - Kanghee Lee
AU  - Doohee Lee
AU  - Hyun-Sik Ham
AU  - Hee-Cheol Kim
AU  - Yourack Lee
AU  - Hyun-Ghang Jeong
AU  - Hyun-Soo Choi
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-36999-w
UR  - https://doi.org/10.1038/s41598-026-36999-w
ER  - 

APA

Lee, K., Lee, D., Ham, H., Kim, H., Lee, Y., Jeong, H., & Choi, H. (2026). Benchmarking action recognition models for self-harm detection in studio and real-world datasets. Scientific Reports. https://doi.org/10.1038/s41598-026-36999-w

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