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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8963970/ |
| _version_ | 1818616713009168384 |
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| author | Yusuke Ujitoko Yuki Ban Koichi Hirota |
| author_facet | Yusuke Ujitoko Yuki Ban Koichi Hirota |
| author_sort | Yusuke Ujitoko |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-16T16:54:10Z |
| format | Article |
| id | doaj.art-0dc48f43dc244c228d064598c8556d01 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T16:54:10Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0dc48f43dc244c228d064598c8556d012022-12-21T22:23:56ZengIEEEIEEE 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 |
| 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 |
| title | 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_short | GAN-Based Fine-Tuning of Vibrotactile Signals to Render Material Surfaces |
| title_sort | gan based fine tuning of vibrotactile signals to render material surfaces |
| 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 |