Triboelectric nanogenerator based self-powered sensor for artificial intelligence

被引：270
作者：
Zhou, Yuankai [1 ]
Shen, Maoliang [1 ]
Cui, Xin [2 ,3 ,4 ]
Shao, Yicheng [1 ]
Li, Lijie [5 ]
Zhang, Yan [1 ,2 ,3 ,4 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Phys, Chengdu 610054, Peoples R China
[2] Guangxi Univ, Sch Phys Sci & Technol, Coll Chem & Chem Engn, Ctr Nanoenergy Res, Nanning 530004, Peoples R China
[3] Chinese Acad Sci, Beijing Inst Nanoenergy & Nanosyst, Beijing 100083, Peoples R China
[4] Univ Chinese Acad Sci, Coll Nanosci & Technol, Beijing 100049, Peoples R China
[5] Swansea Univ, Coll Engn, Multidisciplinary Nanotechnol Ctr, Swansea SA1 8EN, W Glam, Wales
来源：
NANO ENERGY | 2021年 / 84卷
关键词：
Triboelectric nanogenerator; Self-powered sensor; Artificial intelligence; Machine learning; Internet of things; SOURCE LOCALIZATION; GAS SENSOR; KEYSTROKE DYNAMICS; HEALTH-CARE; ENERGY; VIBRATION; INTERNET; SYSTEMS; ARRAY; RECOGNITION;
D O I：
10.1016/j.nanoen.2021.105887
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
Triboelectric nanogenerator based sensor has excellent material compatibility, low cost, and flexibility, which is a unique candidate technology for artificial intelligence. Triboelectric nanogenerators effectively provide critical infrastructure for new generation of sensing systems that collect information by large amounts of self-powered sensors. This review mainly discusses capability and prospect of triboelectric nanogenerators being applied to intelligent sports, security, touch control, and document management systems. The above fields have paid increasing attention in artificial intelligence technologies, such as machine learning, big data processing and cloud computing, demanding huge amount of sensors and complicated sensors network.
引用
收藏
页数：12
相关论文
共 97 条
[1]   Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications [J].
Abu Alsheikh, Mohammad ;
Lin, Shaowei ;
Niyato, Dusit ;
Tan, Hwee-Pink .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (04) :1996-2018
[2]   Flexible piezoelectric pressure sensors using oriented aluminum nitride thin films prepared on polyethylene terephthalate films [J].
Akiyama, Morito ;
Morofuji, Yukari ;
Kamohara, Toshihiro ;
Nishikubo, Keiko ;
Tsubai, Masayoshi ;
Fukuda, Osamu ;
Ueno, Naohiro .
JOURNAL OF APPLIED PHYSICS, 2006, 100 (11)
[3]   Application of Convolutional Long Short-Term Memory Neural Networks to Signals Collected from a Sensor Network for Autonomous Gas Source Localization in Outdoor Environments [J].
Bilgera, Christian ;
Yamamoto, Akifumi ;
Sawano, Maki ;
Matsukura, Haruka ;
Ishida, Hiroshi .
SENSORS, 2018, 18 (12)
[4]   A novel triboelectric nanogenerator based on electrospun polyvinylidene fluoride nanofibers for effective acoustic energy harvesting and self-powered multifunctional sensing [J].
Chen, Fangqi ;
Wu, Yonghui ;
Ding, Zhenyu ;
Xia, Xin ;
Li, Shaoheng ;
Zheng, Haiwu ;
Diao, Chunli ;
Yue, Gentian ;
Zi, Yunlong .
NANO ENERGY, 2019, 56 :241-251
[5]   Reviving Vibration Energy Harvesting and Self-Powered Sensing by a Triboelectric Nanogenerator [J].
Chen, Jun ;
Wang, Zhong Lin .
JOULE, 2017, 1 (03) :480-521
[6]   Personalized Keystroke Dynamics for Self-Powered Human-Machine Interfacing [J].
Chen, Jun ;
Zhu, Guang ;
Yang, Jin ;
Jing, Qingshen ;
Bai, Peng ;
Yang, Weiqing ;
Qi, Xuewei ;
Su, Yuanjie ;
Wang, Zhong Lin .
ACS NANO, 2015, 9 (01) :105-116
[7]   Artificial tactile peripheral nervous system supported by self-powered transducers [J].
Chen, Libo ;
Wen, Chenyu ;
Zhang, Shi-Li ;
Wang, Zhong Lin ;
Zhang, Zhi-Bin .
NANO ENERGY, 2021, 82
[8]   Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial [J].
Chen, Mingzhe ;
Challita, Ursula ;
Saad, Walid ;
Yin, Changchuan ;
Debbah, Merouane .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2019, 21 (04) :3039-3071
[9]   A Stretchable and Transparent Nanocomposite Nanogenerator for Self-Powered Physiological Monitoring [J].
Chen, Xiaoliang ;
Parida, Kaushik ;
Wang, Jiangxin ;
Xiong, Jiaqing ;
Lin, Meng-Fang ;
Shao, Jinyou ;
Lee, Pooi See .
ACS APPLIED MATERIALS & INTERFACES, 2017, 9 (48) :42200-42209
[10]   High-Performance Piezoelectric Nanogenerators with Imprinted P(VDF-TrFE)/BaTiO3 Nanocomposite Micropillars for Self-Powered Flexible Sensors [J].
Chen, Xiaoliang ;
Li, Xiangming ;
Shao, Jinyou ;
An, Ningli ;
Tian, Hongmiao ;
Wang, Chao ;
Han, Tianyi ;
Wang, Li ;
Lu, Bingheng .
SMALL, 2017, 13 (23)
12345678910