Designing Hand and Forearm Gestures to Control Virtual Forearm for User-Initiated Forearm Deformation

Thanks to the development of virtual reality (VR) technology, there is growing research on VR avatar body deformation effects. However, previous research mainly focused on passive body deformation expression, leaving users with limited methods to actively control their virtual bodies. To address this gap, we explored user-controlled forearm deformation by investigating how hand and forearm gestures can be mapped to various degrees of avatar forearm deformation. We conducted a gesture design workshop with six designers to generate gesture sets for different forearm deformations and deformation degrees, resulting in 15 gesture sets. Then, we selected the three highest-rated gesture sets and conducted a comparative study to evaluate the sense of embodiment and user performance across the three gesture sets. Our findings provide design suggestions for gesture-controlled forearm deformation in VR.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-10-03
DOI
https://doi.org/10.1109/tvcg.2025.3616825
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
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article

Designing Hand and Forearm Gestures to Control Virtual Forearm for User-Initiated Forearm Deformation

Seungwoo Je, Yoonji Kim, Yilong Lin, Weitao Jiang et al.
IEEE Transactions on Visualization and Computer Graphics
Hand Gesture Recognition Systems
article

Designing Hand and Forearm Gestures to Control Virtual Forearm for User-Initiated Forearm Deformation

Seungwoo Je, Yoonji Kim, Yilong Lin, Weitao Jiang, Xuesong Zhang, Hyeyoung Jo, Han Shi
article en

Abstract

Thanks to the development of virtual reality (VR) technology, there is growing research on VR avatar body deformation effects. However, previous research mainly focused on passive body deformation expression, leaving users with limited methods to actively control their virtual bodies. To address this gap, we explored user-controlled forearm deformation by investigating how hand and forearm gestures can be mapped to various degrees of avatar forearm deformation. We conducted a gesture design workshop with six designers to generate gesture sets for different forearm deformations and deformation degrees, resulting in 15 gesture sets. Then, we selected the three highest-rated gesture sets and conducted a comparative study to evaluate the sense of embodiment and user performance across the three gesture sets. Our findings provide design suggestions for gesture-controlled forearm deformation in VR.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(11)
University of Colorado Boulder (US), Southern University of Science and Technology (CN), Chung-Ang University (KR)
Openalex Percentile: Top 73%
Hand Gesture Recognition Systems
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Designing Hand and Forearm Gestures to Control Virtual Forearm for User-Initiated Forearm Deformation — Seungwoo Je, Yoonji Kim, et al. · IEEE Transactions on Visualization and Computer Graphics (2025) | TGRS Research Map | TGRS