Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses

被引:0
作者
Tianming Sun [1 ,2 ]
Bin Feng [1 ]
Jinpeng Huo [1 ]
Yu Xiao [1 ]
Wengan Wang [1 ]
Jin Peng [1 ]
Zehua Li [1 ]
Chengjie Du [1 ]
Wenxian Wang [2 ]
Guisheng Zou [1 ]
Lei Liu [1 ]
机构
[1] Department of Mechanical Engineering,State Key Laboratory of Tribology in Advanced Equipment,Key Laboratory for Advanced Manufacturing by Materials Processing Technology,Ministry of Education of PR China,Tsinghua University
[2] College of Materials Science and Engineering,Shanxi Province,Taiyuan University of Technology
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论]; TP212 [发送器(变换器)、传感器];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ; 080202 ;
摘要
The recent wave of the artificial intelligence(AI) revolution has aroused unprecedented interest in the intelligentialize of human society. As an essential component that bridges the physical world and digital signals, flexible sensors are evolving from a single sensing element to a smarter system, which is capable of highly efficient acquisition, analysis, and even perception of vast, multifaceted data. While challenging from a manual perspective, the development of intelligent flexible sensing has been remarkably facilitated owing to the rapid advances of brain-inspired AI innovations from both the algorithm(machine learning) and the framework(artificial synapses) level. This review presents the recent progress of the emerging AI-driven, intelligent flexible sensing systems. The basic concept of machine learning and artificial synapses are introduced. The new enabling features induced by the fusion of AI and flexible sensing are comprehensively reviewed, which significantly advances the applications such as flexible sensory systems, soft/humanoid robotics, and human activity monitoring. As two of the most profound innovations in the twenty-first century, the deep incorporation of flexible sensing and AI technology holds tremendous potential for creating a smarter world for human beings.
引用
收藏
页码:241 / 279
页数:39
相关论文
共 111 条
[1]   Biological Tissue-Inspired Ultrasoft, Ultrathin,and Mechanically Enhanced Microfiber Composite Hydrogel for Flexible Bioelectronics [J].
Qiang Gao ;
Fuqin Sun ;
Yue Li ;
Lianhui Li ;
Mengyuan Liu ;
Shuqi Wang ;
Yongfeng Wang ;
Tie Li ;
Lin Liu ;
Simin Feng ;
Xiaowei Wang ;
Seema Agarwal ;
Ting Zhang .
Nano-Micro Letters, 2023, 15 (09) :183-197
[2]   Functionalized Hydrogel-Based Wearable Gas and Humidity Sensors [J].
Yibing Luo ;
Jianye Li ;
Qiongling Ding ;
Hao Wang ;
Chuan Liu ;
Jin Wu .
Nano-Micro Letters, 2023, 15 (09) :111-155
[3]   Rational Design of Cellulosic Triboelectric Materials for Self-Powered Wearable Electronics [J].
Xiangjiang Meng ;
Chenchen Cai ;
Bin Luo ;
Tao Liu ;
Yuzheng Shao ;
Shuangfei Wang ;
Shuangxi Nie .
Nano-Micro Letters, 2023, 15 (08) :316-361
[4]   集成智能触觉系统用于机器人闭环反馈的可控抓握(英文) [J].
鲍容容 ;
陶娟 ;
赵晶 ;
董明 ;
李静 ;
潘曹峰 .
Science Bulletin, 2023, 68 (10) :1027-1037
[5]   Machine Learning-Enhanced Flexible Mechanical Sensing [J].
Yuejiao Wang ;
Mukhtar Lawan Adam ;
Yunlong Zhao ;
Weihao Zheng ;
Libo Gao ;
Zongyou Yin ;
Haitao Zhao .
Nano-Micro Letters, 2023, 15 (04) :196-228
[6]   A Flexible Tribotronic Artificial Synapse with Bioinspired Neurosensory Behavior [J].
Jianhua Zeng ;
Junqing Zhao ;
Tianzhao Bu ;
Guoxu Liu ;
Youchao Qi ;
Han Zhou ;
Sicheng Dong ;
Chi Zhang .
Nano-Micro Letters, 2023, 15 (02) :52-66
[7]   Memristive Artificial Synapses for Neuromorphic Computing [J].
Wen Huang ;
Xuwen Xia ;
Chen Zhu ;
Parker Steichen ;
Weidong Quan ;
Weiwei Mao ;
Jianping Yang ;
Liang Chu ;
Xingao Li .
Nano-Micro Letters, 2021, 13 (05) :224-251
[8]  
Huo Jinpeng,Zou Guisheng,Xiao Yu,Sun Tianming,Feng Bin,Shen Daozhi,Du Chengjie,Peng Jin,Lin Luchan,Liu Lei.Multifunctional van der Waals heterostructures enabled by femtosecond laser-controlled band alignment engineering[J].Nano Energy,2023
[9]  
Chen Chuanrui,Ding Shichao,Wang Joseph.Digital health for aging populations[J].Nature medicine,2023
[10]  
Yun Seong-Yun,Han Joon-Kyu,Lee Sang-Won,Yu Ji-Man,Jeon Seung-Bae,Choi Yang-Kyu.Self-aware artificial auditory neuron with a triboelectric sensor for spike-based neuromorphic hardware[J].Nano Energy,2023