Haptic invitation of textures: An estimation of human touch motions

Hikaru Nagano; Shogo Okamoto; Yoji Yamada

doi:10.1007/978-3-642-31401-8_31

Haptic invitation of textures: An estimation of human touch motions

Hikaru Nagano, Shogo Okamoto, Yoji Yamada

INF - Applied Information Sciences

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	338-348
Number of pages	11
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7282 LNCS
Issue number	PART 1
DOIs	https://doi.org/10.1007/978-3-642-31401-8_31
Publication status	Published - 2012
Event	International Conference on Haptics: Perception, Devices, Mobility, and Communication, EuroHaptics 2012 - Tampere, Finland Duration: 2012 Jun 13 → 2012 Jun 15

Keywords

Bayesian Network
Stochastic Reasoning

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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Haptic invitation of textures : An estimation of human touch motions. / Nagano, Hikaru; Okamoto, Shogo; Yamada, Yoji.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7282 LNCS, No. PART 1, 2012, p. 338-348.

Research output: Contribution to journal › Conference article › peer-review

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AB - 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.

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Haptic invitation of textures: An estimation of human touch motions

Abstract

Keywords

ASJC Scopus subject areas

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