Flexible wide-range multidimensional force sensors inspired by bones embedded in muscle  

作　　者：Jie Zhang Xiaojuan Hou Shuo Qian Jiabing Huo Mengjiao Yuan Zhigang Duan Xiaoguang Song HuiWu Shuzheng Shi Wenping Geng Jiliang Mu Jian He Xiujian Chou 

机构地区：[1]Science and Technology on Electronic Test and Measurement Laboratory,North University of China,Taiyuan 030051,China [2]School of Software,North University of China,Taiyuan 030051,China [3]School of Mechanical Engineering,Hebei University of Architecture,Zhangjiakou 075000,China [4]HBIS Group Co.Ltd.,Shijiazhuang 050023,China

出　　处：《Microsystems & Nanoengineering》2024年第3期49-61,共13页微系统与纳米工程（英文）

基　　金：supported by the National Natural Science Foundation of China(62171414,52175554,52205608,U2341210);the Fundamental Research Program of Shanxi Province(20210302123059,20210302124610);the National Defense Fundamental Research Project.

摘　　要：Flexible sensors have been widely studied for use in motion monitoring,human‒machine interactions(HMIs),personalized medicine,and soft intelligent robots.However,their practical application is limited by their low output performance,narrow measuring range,and unidirectional force detection.Here,to achieve flexibility and high performance simultaneously,we developed a flexible wide-range multidimensional force sensor(FWMFS)similar to bones embedded in muscle structures.The adjustable magnetic field endows the FWMFS with multidimensional perception for detecting forces in different directions.The multilayer stacked coils significantly improved the output from theμV to the mV level while ensuring FWMFS miniaturization.The optimized FWMFS exhibited a high voltage sensitivity of 0.227 mV/N(0.5–8.4 N)and 0.047 mV/N(8.4–60 N)in response to normal forces ranging from 0.5 N to 60 N and could detect lateral forces ranging from 0.2–1.1 N and voltage sensitivities of 1.039 mV/N(0.2–0.5 N)and 0.194 mV/N(0.5–1.1 N).In terms of normal force measurements,the FWMFS can monitor finger pressure and sliding trajectories in response to finger taps,as well as measure plantar pressure for assessing human movement.The plantar pressure signals of five human movements collected by the FWMFS were analyzed using the k-nearest neighbors classification algorithm,which achieved a recognition accuracy of 92%.Additionally,an artificial intelligence biometric authentication system is being developed that classifies and recognizes user passwords.Based on the lateral force measurement ability of the FWMFS,the direction of ball movement can be distinguished,and communication systems such as Morse Code can be expanded.This research has significant potential in intelligent sensing and personalized spatial recognition.

关 键 词：PASSWORD MORSE FORCE 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]