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공태식

Gong, Taesik
Ubiquitous AI Lab
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dc.citation.conferencePlace KO -
dc.citation.endPage 704 -
dc.citation.startPage 703 -
dc.citation.title ACM International Conference on Mobile Systems, Applications, and Services -
dc.contributor.author Gong, Taesik -
dc.contributor.author Cho, Hyunsung -
dc.contributor.author Lee, Bowon -
dc.contributor.author Lee, Sung-Ju -
dc.date.accessioned 2024-12-30T14:35:08Z -
dc.date.available 2024-12-30T14:35:08Z -
dc.date.created 2024-12-28 -
dc.date.issued 2019-06-17 -
dc.description.abstract We propose Knocker, a real-time object identification technique with smartphones. Knocker leverages unique impulse signals that are generated by knocking on an object with a smartphone. Knocker does not require any special augmentation for both smartphones and objects. -
dc.identifier.bibliographicCitation ACM International Conference on Mobile Systems, Applications, and Services, pp.703 - 704 -
dc.identifier.doi 10.1145/3307334.3328593 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/85376 -
dc.language 영어 -
dc.publisher Association for Computing Machinery, Inc -
dc.title Video: Real-time object identification with a smartphone knock -
dc.type Conference Paper -
dc.date.conferenceDate 2019-06-17 -

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