A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning.

Yao L, Chung KL, Tang L, Ye T, Wang S, Xu P, Bi Y, Wu Y

Open source

DOI
10.3390/s26031057
Published
2026 Feb 6
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s26031057,
  title = {A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning.},
  author = {Yao L and Chung KL and Tang L and Ye T and Wang S and Xu P and Bi Y and Wu Y},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26031057},
  url = {https://doi.org/10.3390/s26031057}
}

RIS

TY  - JOUR
TI  - A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning.
AU  - Yao L
AU  - Chung KL
AU  - Tang L
AU  - Ye T
AU  - Wang S
AU  - Xu P
AU  - Bi Y
AU  - Wu Y
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26031057
UR  - https://doi.org/10.3390/s26031057
ER  - 

APA

L, Y., KL, C., L, T., T, Y., S, W., P, X., Y, B., & Y, W. (2026). A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26031057

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