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. |
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| 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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| ISSN: | 1424-8220 |
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| DOI: | 10.3390/s26031057 |
