Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures

Ruslan Rakhmatov; Arsen Abdulali; Waseem Hassan; Minji Kim; Seokhee Jeon

doi:10.1109/GEM.2018.8516277

Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures

Ruslan Rakhmatov
, Arsen Abdulali
, Waseem Hassan
, Minji Kim
, Seokhee Jeon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

In this paper, we proposed a data-driven vibrotactile rendering system for indoor exercise bicycles. The input of the data-driven model is described by a two-dimensional vector of cycling velocity and tire pressure. We designed a data-collection bike that captures vibrations induced at the handlebar and the cycling velocity for different tire pressures. The data were collected from four real cycling pavements. The level of the tire pressure was varied according to subjects' weight. Data-driven input-output based haptic modeling was adapted for generating road surface texture models. A rendering system was also developed and integrated into the stationary bicycle, and four virtual textures were evaluated by experienced cyclists. The results show that the participants were able to successfully discriminate and identify simulated virtual road surfaces.

Original language	English
Title of host publication	2018 IEEE Games, Entertainment, Media Conference, GEM 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	496-500
Number of pages	5
ISBN (Electronic)	9781538663042
DOIs	https://doi.org/10.1109/GEM.2018.8516277
Publication status	Published - 30 Oct 2018
Event	2018 IEEE Games, Entertainment, Media Conference, GEM 2018 - Galway, Ireland Duration: 15 Aug 2018 → 17 Aug 2018

Publication series

Name	2018 IEEE Games, Entertainment, Media Conference, GEM 2018

Conference

Conference	2018 IEEE Games, Entertainment, Media Conference, GEM 2018
Country/Territory	Ireland
City	Galway
Period	15/08/18 → 17/08/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Data-driven approach
Vibrotactile responses
Vr bicycle

Access to Document

10.1109/GEM.2018.8516277

Cite this

Rakhmatov, R., Abdulali, A., Hassan, W., Kim, M., & Jeon, S. (2018). Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures. In 2018 IEEE Games, Entertainment, Media Conference, GEM 2018 (pp. 496-500). Article 8516277 (2018 IEEE Games, Entertainment, Media Conference, GEM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GEM.2018.8516277

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title = "Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures",

abstract = "In this paper, we proposed a data-driven vibrotactile rendering system for indoor exercise bicycles. The input of the data-driven model is described by a two-dimensional vector of cycling velocity and tire pressure. We designed a data-collection bike that captures vibrations induced at the handlebar and the cycling velocity for different tire pressures. The data were collected from four real cycling pavements. The level of the tire pressure was varied according to subjects' weight. Data-driven input-output based haptic modeling was adapted for generating road surface texture models. A rendering system was also developed and integrated into the stationary bicycle, and four virtual textures were evaluated by experienced cyclists. The results show that the participants were able to successfully discriminate and identify simulated virtual road surfaces.",

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author = "Ruslan Rakhmatov and Arsen Abdulali and Waseem Hassan and Minji Kim and Seokhee Jeon",

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Rakhmatov, R, Abdulali, A, Hassan, W, Kim, M & Jeon, S 2018, Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures. in 2018 IEEE Games, Entertainment, Media Conference, GEM 2018., 8516277, 2018 IEEE Games, Entertainment, Media Conference, GEM 2018, Institute of Electrical and Electronics Engineers Inc., pp. 496-500, 2018 IEEE Games, Entertainment, Media Conference, GEM 2018, Galway, Ireland, 15/08/18. https://doi.org/10.1109/GEM.2018.8516277

Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures. / Rakhmatov, Ruslan; Abdulali, Arsen; Hassan, Waseem et al.
2018 IEEE Games, Entertainment, Media Conference, GEM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 496-500 8516277 (2018 IEEE Games, Entertainment, Media Conference, GEM 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Abdulali, Arsen

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AU - Kim, Minji

AU - Jeon, Seokhee

PY - 2018/10/30

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AB - In this paper, we proposed a data-driven vibrotactile rendering system for indoor exercise bicycles. The input of the data-driven model is described by a two-dimensional vector of cycling velocity and tire pressure. We designed a data-collection bike that captures vibrations induced at the handlebar and the cycling velocity for different tire pressures. The data were collected from four real cycling pavements. The level of the tire pressure was varied according to subjects' weight. Data-driven input-output based haptic modeling was adapted for generating road surface texture models. A rendering system was also developed and integrated into the stationary bicycle, and four virtual textures were evaluated by experienced cyclists. The results show that the participants were able to successfully discriminate and identify simulated virtual road surfaces.

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Rakhmatov R, Abdulali A, Hassan W, Kim M, Jeon S. Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures. In 2018 IEEE Games, Entertainment, Media Conference, GEM 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 496-500. 8516277. (2018 IEEE Games, Entertainment, Media Conference, GEM 2018). doi: 10.1109/GEM.2018.8516277

Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures

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Keywords

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