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Haptic Invitation of Textures: An Estimation of Human Touch Motions

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Haptics: Perception, Devices, Mobility, and Communication (EuroHaptics 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7282))

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.

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References

  1. Nagano, H., Okamoto, S., Yamada, Y.: Physical and sensory factors of textures that appeal to human touch. In: Proceedings of the 4th International Conference on Human System Interactions, pp. 324–329 (2011)

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  2. Nagano, H., Okamoto, S., Yamada, Y.: What appeals to human touch? effects of tactual factors and predictability of textures on affinity to textures. In: Proceedings of the IEEE 2011 World Haptics Conference, pp. 203–208 (2011)

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  3. Klatzky, R.L., Peck, J.: Please touch: Object properties that invite touch. IEEE Transactions on Haptics (to appear, 2012)

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  4. Lederman, S.J., Klatzky, R.L.: Hand movements: A window into haptic object recognition. Cognitive Psychology 19, 342–368 (1987)

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© 2012 Springer-Verlag Berlin Heidelberg

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Nagano, H., Okamoto, S., Yamada, Y. (2012). Haptic Invitation of Textures: An Estimation of Human Touch Motions. In: Isokoski, P., Springare, J. (eds) Haptics: Perception, Devices, Mobility, and Communication. EuroHaptics 2012. Lecture Notes in Computer Science, vol 7282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31401-8_31

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  • DOI: https://doi.org/10.1007/978-3-642-31401-8_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31400-1

  • Online ISBN: 978-3-642-31401-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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