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Data-driven Texture Modeling and Rendering on Electrovibration Display

Authors:

Seongwon Cho,

Reza Haghighi Osgouei,

Jin Ryong Kim,

Seungmoon ChoiAuthors Info & Claims

ISS '19: Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces

Pages 323 - 325

https://doi.org/10.1145/3343055.3360743

Published: 10 November 2019 Publication History

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Abstract

We propose a data-driven method for realistic texture rendering on an electrovibration display. To compensate the nonlinear dynamics of an electrovibration display, we use nonlinear autoregressive with external input (NARX) neural networks as an inverse dynamics model of an electrovibration display. The neural networks are trained with lateral forces resulting from actuating the display with a pseudo-random binary signal (PRBS). The lateral forces collected from the textured surface with various scanning velocities and normal forces are fed into the neural network to generate the actuation signal for the display. For arbitrary scanning velocity and normal force, we apply the two-step interpolation scheme between the closest neighbors in the velocity-force grid.

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Hirai ANakayama MOgawa T(2021)Local Peak Method: An Electrotactile Stimulation Method Focusing on Surface Structures for Texture RenderingJournal of Robotics and Mechatronics10.20965/jrm.2021.p104333:5(1043-1050)Online publication date: 20-Oct-2021
https://doi.org/10.20965/jrm.2021.p1043

Index Terms

Data-driven Texture Modeling and Rendering on Electrovibration Display
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Haptic devices

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Information

Published In

ISS '19: Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces

November 2019

450 pages

ISBN:9781450368919

DOI:10.1145/3343055

General Chairs:
Bongshin Lee
Microsoft Research, USA
,
Geehyuk Lee
KAIST, South Korea
,
Program Chairs:
Stacey Scott
University of Guelph, Canada
,
Melanie Tory
Tableau Software, USA
,
Jeonghyun Kim
Korea University, South Korea

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 10 November 2019

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SIGCHI

ISS '19: Interactive Surfaces and Spaces

November 10 - 13, 2019

Daejeon, Republic of Korea

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ISS '19 Paper Acceptance Rate 26 of 85 submissions, 31%;

Overall Acceptance Rate 147 of 533 submissions, 28%

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Hirai ANakayama MOgawa T(2021)Local Peak Method: An Electrotactile Stimulation Method Focusing on Surface Structures for Texture RenderingJournal of Robotics and Mechatronics10.20965/jrm.2021.p104333:5(1043-1050)Online publication date: 20-Oct-2021
https://doi.org/10.20965/jrm.2021.p1043

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