arrow
Return

Material Recognition Sensor Array by Electrostatic Induction and Triboelectric Effects

delete2020-08-14
delete19
PRE
AI
荣新 (Xin Rong)
J
Junqing Zhao
H
Hang Guo
G
Gaowei Zhen
J
Jinghan Yu
C
Chi Zhang *
董桂芳 (Guifang Dong) *
DOI:10.1002/admt.202000641delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The development of the sensor array has received substantial attention due to its enormous potential in artificial intelligences. The development of a sensor array with supernatural functions is of great significance and this paper presents a sort of flexible sensor array capable of recognizing material based on the electrostatic induction and triboelectric effects. In the nature, different materials have different abilities of gaining or donating electrons. When a tested material (including plastic, glass, or metal) approaches or leaves different probe materials integrated in the sensor array, the amplitude and phase of the induced electrical signals, which are related to the inherent feature of the tested material, are detected and analyzed, and then, the tested material can be distinguished. This sort of flexible sensor array has advantages of quick response (70 ms), accurate identification, low cost, and easy fabrication. It has promising application in wearable electronic devices and intelligent robots.
Keywords:
material recognition
sensor arrays
triboelectric nanogenerators
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Advanced Materials Technologies cover
Advanced Materials Technologies
IF:
6.2
Papers:
5.2K
Citations:
2.4W

Organization

T
tsinghua university
Scholars:
11.8W
Papers: 10.0W
Citations: 137
C
chinese academy of sciences
Scholars:
56.4W
Papers: 44.9W
Citations: 704