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author:

Wu, Haibin (Wu, Haibin.) [1] | Zheng, Bingying (Zheng, Bingying.) [2] | Wang, Haomiao (Wang, Haomiao.) [3] | Ye, Jinhua (Ye, Jinhua.) [4]

Indexed by:

EI

Abstract:

In order to obtain external information and ensure the security of human–computer interaction, a double sensitive layer structured tactile sensor was proposed in this paper. Based on the EIT (Electrical Impedance Tomography) method, the sensor converts the information from external collisions or contact into local conductivity changes, and realizes the detection of one or more contact points. These changes can be processed into an image containing positional and force information. The experiments were conducted on the actual sensor sample. The OpenCV toolkit was used to process the positional information of contact points. The distributional regularities of errors in positional detection were analyzed, and the accuracy of the positional detection was evaluated. The effectiveness, sensitivity, and contact area of the force detection were analyzed based on the result of the EIT calculations. Furthermore, multi-object tests of pressure were conducted. The results of the experiment indicated that the proposed sensor performed well in detecting the position and force of contact. It is suitable for human–robot interaction. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keyword:

Electric impedance Electric impedance measurement Electric impedance tomography Human computer interaction Human robot interaction Tactile sensors

Community:

  • [ 1 ] [Wu, Haibin]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Zheng, Bingying]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Wang, Haomiao]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Ye, Jinhua]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

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Source :

Micromachines

Year: 2022

Issue: 2

Volume: 13

3 . 4

JCR@2022

3 . 0 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 16

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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