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Surface-Assisted In-Air Gesture Recognition

Authors
Kim, MinhyeokLee, DonghunKim, Hyosu
Issue Date
2023
Publisher
IEEE Computer Society
Citation
International Conference on ICT Convergence, v.2023 14th, pp 666 - 668
Pages
3
Journal Title
International Conference on ICT Convergence
Volume
2023 14th
Start Page
666
End Page
668
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/72847
DOI
10.1109/ICTC58733.2023.10392389
ISSN
2162-1233
Abstract
In-air hand gestures can be effectively utilized to support immersive interactions in an online meeting. In this study, we propose a novel system to support in-air hand gestures by leveraging the vibrations introduced by the gestures. When a user makes hand gestures while putting her elbow on a table, vibrations are produced due to the gestures and travel through the table's surface. Based on this observation, we collect gesture-driven vibrations and use them for gesture recognition. Our evaluations with real-world users demonstrate that we can precisely recognize in-air hand gestures (e.g., an average accuracy of 96.02%) using only commercial devices, such as smartphones and smartwatches. © 2023 IEEE.
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Kim, Hyo Su
소프트웨어대학 (소프트웨어학부)
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