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A blockchain-integrated multi-scale convolutional network for accurate recognition and secure tracking of high-difficulty movements in aerobics training

Crossref DOI link: https://doi.org/10.1038/s41598-026-43794-0

Published Online: 2026-03-24

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Qianqian

Lu, Yao

Li, Yuanzhe
Funding

Funding for this research was provided by:

Enerstay Sustainability Pte Ltd ((Call 1/2022) _SUST (Project ID BS-2022))
License Information

Text and Data Mining valid from 2026-03-24

Accepted Manuscript valid from 2026-03-24
More Information

Article History

Received: 13 December 2025

Accepted: 6 March 2026

First Online: 24 March 2026

Competing interests

: The authors declare no competing interests.

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