Benchmarking action recognition models for self-harm detection in studio and real-world datasets
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-26T15:22:01.530Z