Haptic invitation of textures: An estimation of human touch motions

Hikaru Nagano, Shogo Okamoto, Yoji Yamada

Research output: Contribution to journalConference article

4 Citations (Scopus)

Abstract

Some textures invite human touch motions in daily life, but studies on the methodology of designing such textures have just been initiated [1,2,3]. However, there is still no method of identifying various touch motions invited by these textures. For example, some textures are likely to invite stroking, while others are likely to invite pushing. We developed a Bayesian network model that represents the probabilistic relationships between texture-invited touch motions and properties of textures. We interpreted the constructed model and confirmed that the model is potentially useful for the estimation of human motions.

Original languageEnglish
Pages (from-to)338-348
Number of pages11
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7282 LNCS
Issue numberPART 1
DOIs
Publication statusPublished - 2012 Dec 1
EventInternational Conference on Haptics: Perception, Devices, Mobility, and Communication, EuroHaptics 2012 - Tampere, Finland
Duration: 2012 Jun 132012 Jun 15

Keywords

  • Bayesian Network
  • Stochastic Reasoning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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