DeM-FCN: an ultra-lightweight and purely convolutional framework for edge-native human activity recognition in wearable fitness tracking.

Xu Y, Li J, Huang Z, Cheng T, Chen C, Tan B, Tan Z, Chen H, Zhou Y

Open source

DOI: 10.3389/fspor.2026.1858408
Published: 2026
Container: Frontiers in sports and active living
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fspor.2026.1858408,
  title = {DeM-FCN: an ultra-lightweight and purely convolutional framework for edge-native human activity recognition in wearable fitness tracking.},
  author = {Xu Y and Li J and Huang Z and Cheng T and Chen C and Tan B and Tan Z and Chen H and Zhou Y},
  year = {2026},
  journal = {Frontiers in sports and active living},
  doi = {10.3389/fspor.2026.1858408},
  url = {https://doi.org/10.3389/fspor.2026.1858408}
}

RIS

TY  - JOUR
TI  - DeM-FCN: an ultra-lightweight and purely convolutional framework for edge-native human activity recognition in wearable fitness tracking.
AU  - Xu Y
AU  - Li J
AU  - Huang Z
AU  - Cheng T
AU  - Chen C
AU  - Tan B
AU  - Tan Z
AU  - Chen H
AU  - Zhou Y
PY  - 2026
JO  - Frontiers in sports and active living
DO  - 10.3389/fspor.2026.1858408
UR  - https://doi.org/10.3389/fspor.2026.1858408
ER  -

APA

Y, X., J, L., Z, H., T, C., C, C., B, T., Z, T., H, C., & Y, Z. (2026). DeM-FCN: an ultra-lightweight and purely convolutional framework for edge-native human activity recognition in wearable fitness tracking.. Frontiers in sports and active living. https://doi.org/10.3389/fspor.2026.1858408

Source records

pubmed · retrieved 2026-09-26T15:45:11.436Z
europe-pmc · retrieved 2026-09-26T15:45:11.432Z
doaj · retrieved 2026-09-26T15:45:11.452Z