典型文献
An All-In-One Multifunctional Touch Sensor with Carbon-Based Gradient Resistance Elements
文献摘要：
Human-machine interactions using deep-learning methods are important in the research of virtual reality,augmented reality,and metaverse.Such research remains challenging as current interactive sensing interfaces for single-point or multipoint touch input are trapped by massive crossover electrodes,signal crosstalk,propaga-tion delay,and demanding configuration requirements.Here,an all-in-one multipoint touch sensor(AIOM touch sensor)with only two elec-trodes is reported.The AIOM touch sensor is efficiently constructed by gradient resistance elements,which can highly adapt to diverse application-dependent configurations.Combined with deep learning method,the AIOM touch sensor can be utilized to recognize,learn,and memorize human-machine interactions.A biometric verification system is built based on the AIOM touch sensor,which achieves a high identification accuracy of over 98％and offers a promising hybrid cyber security against password leaking.Diversiform human-machine interactions,including freely playing piano music and program-matically controlling a drone,demonstrate the high stability,rapid response time,and excellent spatiotemporally dynamic resolution of the AIOM touch sensor,which will promote significant development of interactive sensing interfaces between fingertips and virtual objects.
文献关键词：
中图分类号：
作者姓名：
Chao Wei;Wansheng Lin;Shaofeng Liang;Mengjiao Chen;Yuanjin Zheng;Xinqin Liao;Zhong Chen
作者机构：
Department of Electronic Science,Xiamen University,Xiamen 361005,People's Republic of China;School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore 639798,Singapore;Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province,Xiamen 361005,People's Republic of China
文献出处：
引用格式：
[1]Chao Wei;Wansheng Lin;Shaofeng Liang;Mengjiao Chen;Yuanjin Zheng;Xinqin Liao;Zhong Chen-.An All-In-One Multifunctional Touch Sensor with Carbon-Based Gradient Resistance Elements)[J].纳微快报（英文）,2022(08):124-141
A类：
AIOM,memorize,Diversiform,piano
B类：
An,All,In,One,Multifunctional,Touch,Sensor,Carbon,Based,Gradient,Resistance,Elements,Human,machine,interactions,using,deep,learning,methods,are,important,research,virtual,reality,augmented,metaverse,Such,remains,challenging,current,interactive,sensing,interfaces,single,multipoint,touch,input,trapped,by,massive,crossover,electrodes,signal,crosstalk,propaga,delay,demanding,requirements,Here,sensor,only,two,reported,efficiently,constructed,gradient,resistance,elements,which,highly,adapt,diverse,application,dependent,configurations,Combined,utilized,recognize,human,biometric,verification,system,built,achieves,identification,accuracy,offers,promising,hybrid,cyber,security,against,password,leaking,including,freely,playing,music,program,matically,controlling,drone,demonstrate,stability,rapid,response,excellent,spatiotemporally,dynamic,resolution,will,promote,significant,development,between,fingertips,objects
AB值：
0.594211
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
