All-natural phyllosilicate-polysaccharide triboelectric sensor for machine learning-assisted human motion prediction  

作　　者：Yuanhao Liu Yiwen Shen Wei Ding Xiangkun Zhang Weiliang Tian Song Yang Bin Hui Kewei Zhang 

机构地区：[1]Key Laboratory of Chemical Engineering in South Xinjiang,College of Chemistry and Chemical Engineering,Tarim University,843300 Alar,P.R.China [2]State Key Laboratory of Bio-Fibers and Eco-Textiles,Collaborative Innovation Center for Marine Biomass Fibers,Materials and Textiles of Shandong Province,College of Materials Science and Engineering,Institute of Marine Biobased Materials,Qingdao University,266071 Qingdao,P.R.China [3]Department of Hepatology,Beijing Ditan Hospital of Capital Medical University,100015 Beijing,P.R.China

出　　处：《npj Flexible Electronics》2023年第1期351-360,共10页npj-柔性电子（英文）

基　　金：supported by the National Natural Science Foundation of China(Nos.21761029,51973099);Taishan Scholar Program of Shandong Province(No.tsqn201812055);Central Government Guiding Funds for Local Science and Technology Development(Nos.Z135050009017 and 2022ZY015);Corps Science and Technology Program(No.2020CB019);Innovation Group Project of Tarim University(Nos.TDZKCQ201901);Xinjiang Corps famous teachers,the State Key Laboratory of Bio-Fibers and Eco-Textiles(Qingdao University)(Nos.ZKT04,GZRC202007);the Engineering Laboratory of Chemical Resources Utilization in South Xinjiang of Xinjiang Production and Construction Corps(No.CRUZD2003).

摘　　要：The rapid development of smart and carbon-neutral cities motivates the potential of natural materials for triboelectric electronics.However,the relatively deficient charge density makes it challenging to achieve high Maxwell’s displacement current.Here,we propose a methodology for improving the triboelectricity of marine polysaccharide by incorporating charged phyllosilicate nanosheets.As a proof-of-concept,a flexible,flame-retardant,and eco-friendly triboelectric sensor is developed based on all-natural composite paper from alginate fibers and vermiculite nanosheets.The interlaced fibers and nanosheets not only enable superior electrical output but also give rise to wear resistance and mechanical stability.The fabricated triboelectric sensor successfully monitors slight motion signals from various joints of human body.Moreover,an effective machine-learning model is developed for human motion identification and prediction with accuracy of 96.2%and 99.8%,respectively.This work offers a promising strategy for improving the triboelectricity of organo-substrates and enables implementation of self-powered and intelligent platform for emerging applications.

关 键 词：PREDICTION motion enable 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TP181[自动化与计算机技术—控制科学与工程]