Modeling of tactile texture recognition mechanism

Hirokazu Shirado, Masashi Konyo, Takashi Maeno

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

It is necessary to ascertain tactile texture recognition of humans in developing tactile devices that create or detect lifelike texture. Tactile texture has been researched in the field of psychophysics and neuroscience, but its function-structure relationship cannot be still uncertain by their method. In this paper, modeling of tactile texture recognition mechanism by numerical simulation system is discussed. The model is made of two parts; reception part and perception part. Reception model is built by finite element model of human finger and filters emulating mechanoreceptors response properties. Perception model is built by feed forward type of neural network with 3 layers. This network is considered for configuration and module structure of primary somatosensory area. Finally, validity of the total model is confirmed by comparing output data of this model to the result of sensory evaluation.

Original languageEnglish
Pages (from-to)2514-2522
Number of pages9
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume73
Issue number9
Publication statusPublished - 2007 Sep

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Textures
Neural networks
Computer simulation

Keywords

  • FEM
  • Neural network
  • Recognition model
  • Tactile texture

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

Modeling of tactile texture recognition mechanism. / Shirado, Hirokazu; Konyo, Masashi; Maeno, Takashi.

In: Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Vol. 73, No. 9, 09.2007, p. 2514-2522.

Research output: Contribution to journalArticle

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