Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures
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Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures. / Rakhmatov, Ruslan; Abdulali, Arsen; Hassan, Waseem; Kim, Minji; Jeon, Seokhee.
2018 IEEE Games, Entertainment, Media Conference, GEM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. s. 496-500 8516277 (2018 IEEE Games, Entertainment, Media Conference, GEM 2018).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - Virtual Reality Bicycle with Data-Driven Vibrotactile Responses from Road Surface Textures
AU - Rakhmatov, Ruslan
AU - Abdulali, Arsen
AU - Hassan, Waseem
AU - Kim, Minji
AU - Jeon, Seokhee
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2018/10/30
Y1 - 2018/10/30
N2 - 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.
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.
KW - Data-driven approach
KW - Vibrotactile responses
KW - Vr bicycle
UR - http://www.scopus.com/inward/record.url?scp=85057041098&partnerID=8YFLogxK
U2 - 10.1109/GEM.2018.8516277
DO - 10.1109/GEM.2018.8516277
M3 - Article in proceedings
AN - SCOPUS:85057041098
T3 - 2018 IEEE Games, Entertainment, Media Conference, GEM 2018
SP - 496
EP - 500
BT - 2018 IEEE Games, Entertainment, Media Conference, GEM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Games, Entertainment, Media Conference, GEM 2018
Y2 - 15 August 2018 through 17 August 2018
ER -
ID: 388953219