Papers
4
Total Citations
195
H-Index
3
About
Linglin Zhou is a leading researcher in self-powered sensing systems and intelligent human–machine interaction, with a focus on triboelectric nanogenerators (TENGs) and acoustic sensors. Their major contributions include the development of a self-powered dual-type signal vector sensor for smart robotics and automatic vehicles, which enables precise motion monitoring without external power sources (103 citations). Zhou also designed a highly sensitive omnidirectional acoustic sensor that enhances human–machine interaction by accurately tracking sound sources in noisy environments (50 citations), and a self-powered vector motion sensor for personalized medical rehabilitation (41 citations). Most recently, they integrated deep learning with acoustic sensing to enable real-time emotion recognition in auditory robots (2025). With over 195 total citations across their top works, Zhou’s innovations are pivotal for advancing autonomous systems, rehabilitation technology, and intuitive robot communication. Their work stands out for combining energy harvesting with intelligent signal processing, directly addressing real-world challenges in automation and healthcare.
Research Focus
Key Achievements
Top Papers
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