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A Motion Vector Sensor via Direct‐Current Triboelectric Nanogenerator
Author(s) -
Yin Xing,
Liu Di,
Zhou Linglin,
Li Xinyuan,
Xu Guoqiang,
Liu Lu,
Li Shaoxin,
Zhang Chuguo,
Wang Jie,
Wang Zhong Lin
Publication year - 2020
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.202002547
Subject(s) - triboelectric effect , nanogenerator , signal (programming language) , electrostatic induction , angular displacement , circular motion , contact electrification , alternating current , displacement current , angular velocity , sensitivity (control systems) , computer science , electrical engineering , current (fluid) , materials science , acoustics , electronic engineering , physics , engineering , voltage , mechanical engineering , electrode , quantum mechanics , composite material , programming language
Abstract Motion vector sensors play an important role in artificial intelligence and internet of things. Here, a triboelectric vector sensor (TVS) based on a direct‐current triboelectric nanogenerator is reported, for self‐powered measuring various motion parameters, including displacement, velocity, acceleration, angular, and angular velocity. Based on the working mechanism of the contact‐electrification effect and electrostatic breakdown, a continuous DC signal can be collected to directly monitor moving objects free from environmental electromagnetic signal interference existing in conventional self‐powered TVSs with an alternative‐current signal output, which not only enhances the sensitivity of sensors, but also provides a simple solution to miniaturize the sensors. Its sensitivity is demonstrated to be equivalent to state‐of‐the‐art photoelectric technology by a comparative experiment in an intelligent mouse. Notably, an intelligent pen based on the miniaturized TVS is designed to realize motion trajectory tracing, mapping, and writing on the curved surface. This work provides a new paradigm shift to design motion vector sensors and self‐powered sensors in artificial intelligent and internet of things.