GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces

GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces

The design productivity of fine-tuning for vibrotactile stimuli becomes important as consumer devices equipped with vibrotactile actuators will become wide-spread. The fine-tuned vibrotactile stimuli output by vibrotactile actuators allows the end-users to feel the surface of the virtual material. H...

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Bibliographic Details
Main Authors: Yusuke Ujitoko, Yuki Ban, Koichi Hirota
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Human computer interaction
design tools
haptic interfaces
Online Access:https://ieeexplore.ieee.org/document/8963970/
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spelling doaj-0dc48f43dc244c228d064598c8556d012021-03-30T02:51:45ZengIEEEIEEE Access2169-35362020-01-018166561666110.1109/ACCESS.2020.29681858963970GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material SurfacesYusuke Ujitoko0https://orcid.org/0000-0001-6059-9324Yuki Ban1https://orcid.org/0000-0001-7349-6383Koichi Hirota2https://orcid.org/0000-0002-4323-7812Research and Development Group, Hitachi, Ltd., Yokohama, JapanGraduate School of Frontier Sciences, The University of Tokyo, Tokyo, JapanGraduate School of Information Systems, The University of Electro-Communications, Tokyo, JapanThe design productivity of fine-tuning for vibrotactile stimuli becomes important as consumer devices equipped with vibrotactile actuators will become wide-spread. The fine-tuned vibrotactile stimuli output by vibrotactile actuators allows the end-users to feel the surface of the virtual material. However, there is no suitable tool for fine-tuning while there are existing tools suitable for initial designing. In this paper, we test whether we can use GAN (Generative Adversarial Network)-based vibrotactile signal generator at the tuning phase. The generator provides a material-level interface to designers. Designers can define any intermediate materials among pre-defined 108 materials and obtain corresponding intermediate signals that the generator generates. We showed the applicability of the generator to the fine-tuning of vibrotactile signals from the viewpoints of principal component analysis and a user test.https://ieeexplore.ieee.org/document/8963970/Human computer interactiondesign toolshaptic interfaces
collection DOAJ
language English
format Article
sources DOAJ
author Yusuke Ujitoko
Yuki Ban
Koichi Hirota
spellingShingle Yusuke Ujitoko
Yuki Ban
Koichi Hirota
GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces
IEEE Access
Human computer interaction
design tools
haptic interfaces
author_facet Yusuke Ujitoko
Yuki Ban
Koichi Hirota
author_sort Yusuke Ujitoko
title GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces
title_short GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces
title_full GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces
title_fullStr GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces
title_full_unstemmed GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces
title_sort gan-based fine-tuning of vibrotactile signals to render material surfaces
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description The design productivity of fine-tuning for vibrotactile stimuli becomes important as consumer devices equipped with vibrotactile actuators will become wide-spread. The fine-tuned vibrotactile stimuli output by vibrotactile actuators allows the end-users to feel the surface of the virtual material. However, there is no suitable tool for fine-tuning while there are existing tools suitable for initial designing. In this paper, we test whether we can use GAN (Generative Adversarial Network)-based vibrotactile signal generator at the tuning phase. The generator provides a material-level interface to designers. Designers can define any intermediate materials among pre-defined 108 materials and obtain corresponding intermediate signals that the generator generates. We showed the applicability of the generator to the fine-tuning of vibrotactile signals from the viewpoints of principal component analysis and a user test.
topic Human computer interaction
design tools
haptic interfaces
url https://ieeexplore.ieee.org/document/8963970/
work_keys_str_mv AT yusukeujitoko ganbasedfinetuningofvibrotactilesignalstorendermaterialsurfaces
AT yukiban ganbasedfinetuningofvibrotactilesignalstorendermaterialsurfaces
AT koichihirota ganbasedfinetuningofvibrotactilesignalstorendermaterialsurfaces
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