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  4. LegSense: Inducing Walking Sensation in Seated VR by Providing Movement Illusion via Electrical Muscle Stimulation

LegSense: Inducing Walking Sensation in Seated VR by Providing Movement Illusion via Electrical Muscle Stimulation

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Author(s)
Um, Juwon
•
Jeon, Eunki
•
Kang, Yumin
•
Kang, Seongjun
•
Elsharkawy, Ahmed
•
DelPreto, Joseph
•
Matusik, Wojciech
•
Rus, Daniela
•
Kim, SeungJun
Date Issued
October 5, 2024
Publisher
ACM|Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Citation
Um, Juwon, Jeon, Eunki, Kang, Yumin, Kang, Seongjun, Elsharkawy, Ahmed et al. 2024. "LegSense: Inducing Walking Sensation in Seated VR by Providing Movement Illusion via Electrical Muscle Stimulation."
Version
Final published version
Abstract
Providing convincing proprioceptive cues is essential for immersive virtual reality (VR) navigation. However, this is challenging for seated users with restricted mobility. To address this gap, this study proposes LegSense, a method designed to induce the walking sensation in VR via electrical muscle stimulation (EMS). This method activates the leg muscle senses in sync with the gait cycle without requiring physical motion to enhance users' immersion. We evaluated the efficacy of LegSense through a user study and confirmed its potential in terms of walking sensation, embodiment, and presence compared to other static conditions (baseline and vibro-tactile). Additionally, participant interviews confirmed that LegSense effectively creates a leg movement illusion, suggesting its potential applications in diverse virtual scenarios to enhance VR experiences for seated users.
Description
UbiComp Companion ’24, October 5–9, 2024, Melbourne, VIC, Australia
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-ShareAlike
https://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/157622
DOI of Published Version
https://doi.org/10.1145/3675094.3678375
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