Abstract
This study investigated how the geometry of a touched surface influences forces felt during the scanning of an object with the finger. Although prior research, and basic mechanical considerations, have shed light on force production during haptic interaction with a touched object, surprisingly little is known about how to relate surface detail at different scales to the specific patterns of force that are observed. To address this, we designed an apparatus that could accurately measure normal and tangential forces between a finger and a surface. We fabricated sinusoidal surfaces with precisely controlled geometry, and measured spatial variations in resultant forces generated while subjects repeatedly scanned the surfaces at specified speed and pressure. Subsequent analysis revealed that the resulting force patterns varied in an organized way with spatial scale, and that fluctuations, in the form of aperiodic signal components that proved difficult to model, played an increasingly important role as the spatial scale of the surface geometry decreased. The results may help to explain differences in how surface detail is recovered by the haptic perceptual system at different length scales.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Wiertlewski, M., Hudin, C., Hayward, V.: On the 1/f noise and non-integer harmonic decay of the interaction of a finger sliding on flat and sinusoidal surfaces. In: 2011 IEEE World Haptics Conference (WHC), IEEE, pp. 25–30 (2011)
Fujii, Y., Okamoto, S., Yamada, Y.: Interactive forces caused by scanning wavy surfaces. In: Proceedings of the IEEE Haptics Symposium (2014)
Fagiani, R., Massi, F., Chatelet, E., Berthier, Y., Akay, A.: Tactile perception by friction induced vibrations. Tribol. Int. 44(10), 1100–1110 (2011)
Romano, J.M., Kuchenbecker, K.J.: Creating realistic virtual textures from contact acceleration data. IEEE Trans. Haptics 5(2), 109–119 (2012)
Wiertlewski, M., Lozada, J., Pissaloux, E., Hayward, V.: Causality inversion in the reproduction of roughness. In: Kappers, A.M.L., van Erp, J.B.F., Bergmann Tiest, W.M., van der Helm, F.C.T. (eds.) EuroHaptics 2010. LNCS, vol. 6192, pp. 17–24. Springer, Heidelberg (2010)
Otaduy, M.A., Lin, M.C.: A perceptually-inspired force model for haptic texture rendering. In: Proceedings of the 1st Symposium on Applied Perception in Graphics and Visualization, pp. 123–126. ACM, New York (2004)
Rizos, D., Fassois, S.: Friction identification based upon the Lugre and Maxwell slip models. IEEE Trans. Control Syst. Technol. 17(1), 153–160 (2009)
Ljung, L.: System Identification. Springer, New York (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Janko, M., Primerano, R., Visell, Y. (2014). Scale Dependence of Force Patterns During the Scanning of a Surface by a Bare Finger. In: Auvray, M., Duriez, C. (eds) Haptics: Neuroscience, Devices, Modeling, and Applications. EuroHaptics 2014. Lecture Notes in Computer Science(), vol 8618. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44193-0_38
Download citation
DOI: https://doi.org/10.1007/978-3-662-44193-0_38
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44192-3
Online ISBN: 978-3-662-44193-0
eBook Packages: Computer ScienceComputer Science (R0)