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Influence of Object Material Properties and Geometry on Skin Temperature Responses During Contact

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9774))

Abstract

When the hand makes contact with an object, the changes in skin temperature provide information about not only the object’s material composition but also its geometry. Consider, for example, the temperature difference felt when touching an aluminum block and a piece of aluminum foil. To study the thermal cues associated with material properties and object thickness, we measured the changes in skin temperature elicited when touching objects with varying material properties and geometries, and compared them to the theoretical predictions obtained from two thermal models, of which one assumes the object having an infinite thickness and the other takes into consideration the actual object thickness. The comparison results indicate that the former model is effective in capturing the rapid temperature changes at the moment of contact and the latter model is better at predicting the total change in skin temperature at the end of contact. These findings provide a knowledge basis for the development of thermal displays for material simulation and automatic object identification systems that identify an object’s material composition and thickness based on thermal feedback.

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Acknowledgements

The author would like to thank Dr. Junji Watanabe and Dr. Warrick Roseboom for their valuable comments on the manuscript. This research was supported by Grants-in-Aid for Scientific Research on Innovative Areas (15H05915) from the Japanese Ministry of Education, Culture, Sports, Science, and Technology.

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Correspondence to Hsin-Ni Ho .

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© 2016 Springer International Publishing Switzerland

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Ho, HN. (2016). Influence of Object Material Properties and Geometry on Skin Temperature Responses During Contact. In: Bello, F., Kajimoto, H., Visell, Y. (eds) Haptics: Perception, Devices, Control, and Applications. EuroHaptics 2016. Lecture Notes in Computer Science(), vol 9774. Springer, Cham. https://doi.org/10.1007/978-3-319-42321-0_26

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  • DOI: https://doi.org/10.1007/978-3-319-42321-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42320-3

  • Online ISBN: 978-3-319-42321-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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