Surface-Assisted In-Air Gesture Recognition
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Minhyeok | - |
dc.contributor.author | Lee, Donghun | - |
dc.contributor.author | Kim, Hyosu | - |
dc.date.accessioned | 2024-03-14T07:00:24Z | - |
dc.date.available | 2024-03-14T07:00:24Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 2162-1233 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/72847 | - |
dc.description.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. | - |
dc.format.extent | 3 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Surface-Assisted In-Air Gesture Recognition | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ICTC58733.2023.10392389 | - |
dc.identifier.bibliographicCitation | International Conference on ICT Convergence, v.2023 14th, pp 666 - 668 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85184570955 | - |
dc.citation.endPage | 668 | - |
dc.citation.startPage | 666 | - |
dc.citation.title | International Conference on ICT Convergence | - |
dc.citation.volume | 2023 14th | - |
dc.type.docType | Conference paper | - |
dc.publisher.location | 미국 | - |
dc.description.journalRegisteredClass | scopus | - |
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