A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning.
- DOI
- 10.3390/s26031057
- Published
- 2026 Feb 6
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
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
Source records
- pubmed · retrieved 2026-09-26T06:14:40.763Z