Surface-Assisted In-Air Gesture Recognition
- Authors
- Kim, Minhyeok; Lee, Donghun; Kim, 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.