Emotion hacking VR (EH-VR): Amplifying scary VR experience by accelerating real heart rate using false vibrotactile biofeedback

Ryoko Ueoka, Ali Al Mutawaand, Hikaru Katsuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Emotion hacking virtual reality (EH-VR) system is an interactive system that hacks one's heartbeat and controls it to accelerate scary VR experience. The EH-VR system provides vibrotactile biofeedback, which resembles a heartbeat, from the floor. The system determines false heartbeat frequency by detecting user's heart rate in real time and calculates false heart rate, which is faster than the one observed according to the quadric equation model. With the system, we demonstrate "Pressure of unknown" which is a CG VR space originally created to express the metaphor of scare. A user experiences this space by using a wheel chair as a controller to walk through a VR world displayed via HMD while receiving vibrotactile feedback of false heartbeat calculated from its own heart rate from the floor.

Original languageEnglish
Title of host publicationSA 2016 - SIGGRAPH ASIA 2016 Emerging Technologies
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450345392
DOIs
Publication statusPublished - Nov 28 2016
Event2016 SIGGRAPH ASIA Emerging Technologies, SA 2016 - Macau, China
Duration: Dec 5 2016Dec 8 2016

Publication series

NameSA 2016 - SIGGRAPH ASIA 2016 Emerging Technologies

Other

Other2016 SIGGRAPH ASIA Emerging Technologies, SA 2016
CountryChina
CityMacau
Period12/5/1612/8/16

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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    Ueoka, R., Al Mutawaand, A., & Katsuki, H. (2016). Emotion hacking VR (EH-VR): Amplifying scary VR experience by accelerating real heart rate using false vibrotactile biofeedback. In SA 2016 - SIGGRAPH ASIA 2016 Emerging Technologies [7] (SA 2016 - SIGGRAPH ASIA 2016 Emerging Technologies). Association for Computing Machinery, Inc. https://doi.org/10.1145/2988240.2988247