Cross-modal latent alignment enables efficient compression of wearable sEMG and accelerometer signals

Yongfei Liu, Chengwen Liu, Ruili Chang, Zhiyou Zhang, Yinghao Zhang

Open source

DOI
10.1038/s41598-026-52577-6
Published
2026-06-03
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-52577-6,
  title = {Cross-modal latent alignment enables efficient compression of wearable sEMG and accelerometer signals},
  author = {Yongfei Liu and Chengwen Liu and Ruili Chang and Zhiyou Zhang and Yinghao Zhang},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-52577-6},
  url = {https://doi.org/10.1038/s41598-026-52577-6}
}

RIS

TY  - JOUR
TI  - Cross-modal latent alignment enables efficient compression of wearable sEMG and accelerometer signals
AU  - Yongfei Liu
AU  - Chengwen Liu
AU  - Ruili Chang
AU  - Zhiyou Zhang
AU  - Yinghao Zhang
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-52577-6
UR  - https://doi.org/10.1038/s41598-026-52577-6
ER  - 

APA

Liu, Y., Liu, C., Chang, R., Zhang, Z., & Zhang, Y. (2026). Cross-modal latent alignment enables efficient compression of wearable sEMG and accelerometer signals. Scientific Reports. https://doi.org/10.1038/s41598-026-52577-6

Source records