ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learning

Aidan Acquah; Shing Chan; Aiden Doherty

doi:10.1038/s41598-026-65900-y

title	ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learning
authors	Aidan Acquah, Shing Chan, Aiden Doherty
date	2026-10-13
venue	Scientific Reports
id	doi:10.1038/s41598-026-65900-y
affiliation	University of Oxford
links	doi
cite

bibtex

@article{acquah2026actinet,
  title={ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learning},
  author={Aidan Acquah and Shing Chan and Aiden Doherty},
  journal={Scientific Reports},
  year={2026},
  doi={10.1038/s41598-026-65900-y}
}