Recognition of contact state of four layers arrayed type tactile sensor by using neural network

Seiji Aoyagi, Takaaki Tanaka, Mamoru Minami

Research output: Contribution to conferencePaper

8 Citations (Scopus)

Abstract

Imitating human finger tip, an arrayed type tactile sensor comprising four layers is under development. In this report, a recognizing method of force and its direction is proposed by using two stage neural networks, and its validity is investigated by simulation. The procedure of simulation is as follows: first, the stress distribution of this sensor sheet applied force is simulated by FEM (Finite Element Method). The obtained stress data are assigned to each assumed stress sensing element of the array. Second, all data of these elements are processed by the first stage neural network, and force direction is calculated. Third, using this direction data and maximal stress data of 4 layers are processed by the second stage neural network.

Original languageEnglish
Pages393-397
Number of pages5
DOIs
Publication statusPublished - Dec 1 2006
Externally publishedYes
Event2006 IEEE International Conference on Information Acquisition, ICIA 2006 - Weihai, Shandong, China
Duration: Aug 20 2006Aug 23 2006

Other

Other2006 IEEE International Conference on Information Acquisition, ICIA 2006
CountryChina
CityWeihai, Shandong
Period8/20/068/23/06

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ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Control and Systems Engineering

Cite this

Aoyagi, S., Tanaka, T., & Minami, M. (2006). Recognition of contact state of four layers arrayed type tactile sensor by using neural network. 393-397. Paper presented at 2006 IEEE International Conference on Information Acquisition, ICIA 2006, Weihai, Shandong, China. https://doi.org/10.1109/ICIA.2006.305744