A Novel Texture Rendering Approach for Electrostatic Displays | Max Planck Institute for Intelligent Systems

Institute Homepage

Institute Homepage DE Sign In

Haptic Intelligence Conference Paper 2019

A Novel Texture Rendering Approach for Electrostatic Displays

Thumb ticker sm img 3687 2

Haptic Intelligence

Screenshot 2019 02 03 at 19.15.13

Generating realistic texture feelings on tactile displays using data-driven methods has attracted a lot of interest in the last decade. However, the need for large data storages and transmission rates complicates the use of these methods for the future commercial displays. In this paper, we propose a new texture rendering approach which can compress the texture data signicantly for electrostatic displays. Using three sample surfaces, we first explain how to record, analyze and compress the texture data, and render them on a touchscreen. Then, through psychophysical experiments conducted with nineteen participants, we show that the textures can be reproduced by a signicantly less number of frequency components than the ones in the original signal without inducing perceptual degradation. Moreover, our results indicate that the possible degree of compression is affected by the surface properties.

Author(s):	Tamara Fiedler and Yasemin Vardar
Book Title:	Proceedings of International Workshop on Haptic and Audio Interaction Design (HAID)
Year:	2019
Month:	March

Bibtex Type:	Conference Paper (inproceedings)

Address:	Lille, France

Electronic Archiving:	grant_archive

Links:
Attachments:	Fiedler19-HAID-Electrostatic

BibTex

@inproceedings{Fiedler19-HAID-Electrostatic,
  title = {A Novel Texture Rendering Approach for Electrostatic Displays},
  booktitle = {Proceedings of International Workshop on Haptic and Audio Interaction Design ({H}{A}{I}{D})},
  abstract = {Generating realistic texture feelings on tactile displays using data-driven methods has attracted a lot of interest in the last decade. However, the need for large data storages and transmission rates complicates the use of these methods for the future commercial displays. In this paper, we propose a new texture rendering approach which can compress the texture data signicantly for electrostatic
  displays. Using three sample surfaces, we first explain how to record, analyze and compress the texture data, and render them on a touchscreen. Then, through psychophysical experiments conducted with nineteen participants, we show that the textures can be reproduced by a signicantly less number of frequency components than the ones in the original signal without inducing perceptual degradation. Moreover, our results indicate that the possible degree of compression is affected by the surface properties.},
  address = {Lille, France},
  month = mar,
  year = {2019},
  slug = {fiedler19-haid-electrostatic},
  author = {Fiedler, Tamara and Vardar, Yasemin},
  month_numeric = {3}
}