DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, S. | ko |
dc.contributor.author | Park, S.-W. | ko |
dc.contributor.author | Yoo, Hoi-Jun | ko |
dc.date.accessioned | 2018-07-24T02:26:48Z | - |
dc.date.available | 2018-07-24T02:26:48Z | - |
dc.date.created | 2018-07-02 | - |
dc.date.created | 2018-07-02 | - |
dc.date.created | 2018-07-02 | - |
dc.date.created | 2018-07-02 | - |
dc.date.issued | 2017-06 | - |
dc.identifier.citation | Journal of Semiconductor Technology and Science, v.17, no.3, pp.473 - 482 | - |
dc.identifier.issn | 1598-1657 | - |
dc.identifier.uri | http://hdl.handle.net/10203/244101 | - |
dc.description.abstract | Hand gesture recognition is regarded as new Human Computer Interaction (HCI) technologies for the next generation of mobile devices. Previous hand gesture implementation requires a large memory and computation power for hand segmentation, which fails to give real-time interaction with mobile devices to users. Therefore, in this paper, we presents a low latency and memory-efficient hand segmentation architecture for natural hand gesture recognition. To obtain both high memory-efficiency and low latency, we propose a streaming hand contour tracing unit and a fast contour filling unit. As a result, it achieves 7.14 ms latency with only 34.8 KB on-chip memory, which are 1.65 times less latency and 1.68 times less on-chip memory, respectively, compare to the best-in-class. © 2017, Institute of Electronics Engineers of Korea. All rights reserved. | - |
dc.language | English | - |
dc.publisher | Institute of Electronics Engineers of Korea | - |
dc.title | A memory-efficient hand segmentation architecture for hand gesture recognition in low-power mobile devices | - |
dc.type | Article | - |
dc.identifier.wosid | 000406939500018 | - |
dc.identifier.scopusid | 2-s2.0-85021719176 | - |
dc.type.rims | ART | - |
dc.citation.volume | 17 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 473 | - |
dc.citation.endingpage | 482 | - |
dc.citation.publicationname | Journal of Semiconductor Technology and Science | - |
dc.identifier.doi | 10.5573/JSTS.2017.17.3.473 | - |
dc.contributor.localauthor | Yoo, Hoi-Jun | - |
dc.contributor.nonIdAuthor | Choi, S. | - |
dc.contributor.nonIdAuthor | Park, S.-W. | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Hand gesture | - |
dc.subject.keywordAuthor | Human computer interaction | - |
dc.subject.keywordAuthor | Image processing | - |
dc.subject.keywordAuthor | Low latency | - |
dc.subject.keywordAuthor | Memory-efficient design | - |
dc.subject.keywordPlus | ALGORITHM | - |
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