DSGF-Net: A Lightweight Dual-Stream Gated Fusion Network for Cross-Subject fNIRS Motor Task Classification.

Wu J, Zhang X, Zhang X, Huang D

DOI: 10.3390/s26175401
Published: 2026 Aug 26
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26175401,
  title = {DSGF-Net: A Lightweight Dual-Stream Gated Fusion Network for Cross-Subject fNIRS Motor Task Classification.},
  author = {Wu J and Zhang X and Zhang X and Huang D},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26175401},
  url = {https://doi.org/10.3390/s26175401}
}

RIS

TY  - JOUR
TI  - DSGF-Net: A Lightweight Dual-Stream Gated Fusion Network for Cross-Subject fNIRS Motor Task Classification.
AU  - Wu J
AU  - Zhang X
AU  - Zhang X
AU  - Huang D
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26175401
UR  - https://doi.org/10.3390/s26175401
ER  -

APA

J, W., X, Z., X, Z., & D, H. (2026). DSGF-Net: A Lightweight Dual-Stream Gated Fusion Network for Cross-Subject fNIRS Motor Task Classification.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26175401

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pubmed · retrieved 2026-09-24T23:51:47.104Z