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Robust triboelectric information-mat enhanced by multi-modality deep learning for smart home 被引量:1
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作者 Yanqin Yang Qiongfeng Shi +3 位作者 Zixuan Zhang Xuechuan Shan Budiman Salam Chengkuo Lee 《InfoMat》 SCIE CAS CSCD 2023年第1期139-160,共22页
In metaverse,a digital-twin smart home is a vital platform for immersive communication between the physical and virtual world.Triboelectric nanogenerators(TENGs)sensors contribute substantially to providing smart-home... In metaverse,a digital-twin smart home is a vital platform for immersive communication between the physical and virtual world.Triboelectric nanogenerators(TENGs)sensors contribute substantially to providing smart-home monitoring.However,TENG deployment is hindered by its unstable out-put under environment changes.Herein,we develop a digital-twin smart home using a robust all-TENG based information mat(InfoMat),which consists of an in-home mat array and an entry mat.The interdigital electrodes design allows environment-insensitive ratiometric readout from the mat array to can-cel the commonly experienced environmental variations.Arbitrary position sensing is also achieved because of the interval arrangement of the mat pixels.Concurrently,the two-channel entry mat generates multi-modality informa-tion to aid the 10-user identification accuracy to increase from 93% to 99% compared to the one-channel case.Furthermore,a digital-twin smart home is visualized by real-time projecting the information in smart home to virtual reality,including access authorization,position,walking trajectory,dynamic activities/sports,and so on. 展开更多
关键词 digital twin environment-insensitive multi-modality deep learning SCALABILITY smart home triboelectric information-mat
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