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

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Title: A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning.
Authors: Yao L; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China., Chung KL; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China., Tang L; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China., Ye T; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China., Wang S; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore., Xu P; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China., Bi Y; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China., Wu Y; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Feb 06; Vol. 26 (3). Date of Electronic Publication: 2026 Feb 06.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning.
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  Data: <searchLink fieldCode="AU" term="%22Yao+L%22">Yao L</searchLink>; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China.<br /><searchLink fieldCode="AU" term="%22Chung+KL%22">Chung KL</searchLink>; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China.<br /><searchLink fieldCode="AU" term="%22Tang+L%22">Tang L</searchLink>; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China.<br /><searchLink fieldCode="AU" term="%22Ye+T%22">Ye T</searchLink>; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China.<br /><searchLink fieldCode="AU" term="%22Wang+S%22">Wang S</searchLink>; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.<br /><searchLink fieldCode="AU" term="%22Xu+P%22">Xu P</searchLink>; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China.<br /><searchLink fieldCode="AU" term="%22Bi+Y%22">Bi Y</searchLink>; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China.<br /><searchLink fieldCode="AU" term="%22Wu+Y%22">Wu Y</searchLink>; School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China.; Guangdong Industrial Robot Integration and Application Engineering Technology Research Center, Guangzhou 510540, China.
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        Value: 10.3390/s26031057
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              Text: 2026 Feb 06
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