A comprehensive review on triboelectric sensors and AI-integrated systems

被引:26
作者
Duan, Shengshun [1 ]
Zhang, Huiyun [1 ]
Liu, Lei [1 ]
Lin, Yu [1 ]
Zhao, Fangzhi [1 ]
Chen, Pinzhen [1 ]
Cao, Shuze [1 ]
Zhou, Kai [1 ]
Gao, Changjiang [1 ]
Liu, Zhengfeng [1 ]
Shi, Qiongfeng [1 ]
Lee, Chengkuo [2 ,3 ]
Wu, Jun [1 ]
机构
[1] Southeast Univ, Sch Elect Sci & Engn, Joint Int Res Lab Informat Display & Visualizat, Nanjing 210096, Peoples R China
[2] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117583, Singapore
[3] Natl Univ Singapore, Ctr Intelligent Sensors & MEMS CISM, Singapore 117608, Singapore
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Triboelectric nanogenerators; Triboelectric sensors; Machine learning; Neuromorphic devices; Multimodal sensors; SYNAPTIC TRANSISTOR; TACTILE-PERCEPTION; WATER-WAVE; NANOGENERATOR; ENERGY; SKIN; PERFORMANCE; INTERFACE; PRESSURE; HYBRID;
D O I
10.1016/j.mattod.2024.08.013
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Triboelectric sensors, derived from triboelectric nanogenerators, generate electrical signals in response to mechanical stimuli. Its remarkable advantages of inherent self-powering, and ease of manufacture, combined with flexible electronics technologies, pave the way for the trillion-node IoT mission. Integration of machine learning into triboelectric sensing systems enables effective learning from sensory data and enhances task execution with increased intelligence. This comprehensive review explores the latest scientific and technological advancements in triboelectric sensors, providing insightful analyses in materials, physics, design principles, manufacturing strategies, monomodal and multimodal sensors, von Neumann architecture-based AI systems, and human-like neuromorphic systems. The discussion also covers diverse technological applications, including biomedicine, robotics, prosthetics, human-machine interfaces, AR/metaverse, smart homes, intelligent sports, and intelligent transportation. The narrative concludes by addressing existing challenges, contemplating potential applications, and outlining prospects in this burgeoning field. Covering from fundamental device physics, and AI integration strategies, to system applications, this review aims to illuminate the burgeoning field of triboelectric sensors, inspiring further innovation in self-powered AI-integrated systems and advanced applications, accelerating the paradigm shift toward the era of self-powered artificial intelligence of things.
引用
收藏
页码:450 / 480
页数:31
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