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author:

Chen, Shiqi (Chen, Shiqi.) [1] | Han, Xiaolong (Han, Xiaolong.) [2] | Zhong, Faxin (Zhong, Faxin.) [3] | Yin, Xiangyu (Yin, Xiangyu.) [4] (Scholars:阴翔宇) | Zhang, Yue (Zhang, Yue.) [5] (Scholars:张月) | He, Bingwei (He, Bingwei.) [6] (Scholars:何炳蔚)

Indexed by:

SCIE

Abstract:

The ability of electronic skin to detect and distinguish multiple tactile stimuli is important to properly mimic human skin. Although a few dual-parameter sensors have recently been designed to identify the most common tactile stimuli such as pressure and heat, it remains a difficult task to develop a dual-parameter sensor that is free from signal interference, easy to prepare, and signal readout, and requires no bias voltage. Here, we develop a simple but effective vertical stacking of sensing components strategy for high-performance dual-parameter sensing systems, in which multiwalled carbon nanotubes (MWCNTs)/textile and PEDOT:PSS/photopaper were designed as pressure- and thermal-sensitive components, and a layer of double-sided tape with a thickness of 200 mu m is sandwiched between two sensitive components for electrical and thermal isolation. The dual-parameter sensor exhibits good sensing performance in terms of sensitivity, response time, detection range, and stability for both pressure and temperature detection. More importantly, the tactile inputs of pressure and temperature can be distinguished without signal decoupling. The preparation of the dual-parameter sensor is simple and low cost, and its requirements for the readout device are as low as a single-chip microcomputer. This work provides a promising prototype for multiparameters e-skin, which has great potential for applications in robot applications, human-computer interaction, and intelligent wearable devices.

Keyword:

Bionic electronic skin dual-parameter signal decoupling tactile perception

Community:

  • [ 1 ] [Chen, Shiqi]Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 2 ] [Zhong, Faxin]Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 3 ] [Zhang, Yue]Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 4 ] [He, Bingwei]Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 5 ] [Han, Xiaolong]Fuzhou Univ, Coll Maynooth Int Engn Coll, Fuzhou 350108, Peoples R China
  • [ 6 ] [Yin, Xiangyu]Fuzhou Univ, Coll Chem Engn, Fuzhou 350108, Peoples R China

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Source :

IEEE SENSORS JOURNAL

ISSN: 1530-437X

Year: 2023

Issue: 6

Volume: 23

Page: 6204-6213

4 . 3

JCR@2023

4 . 3 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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