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An IR Proximity-Based 3D Motion Gesture Sensor for Low-Power Portable Applications

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dc.contributor.authorKim, Jeong Seok-
dc.contributor.authorYun, Seong Jin-
dc.contributor.authorSeol, Dong Jin-
dc.contributor.authorPark, Hee Ju-
dc.contributor.authorKim, Yong Sin-
dc.date.accessioned2021-09-04T10:17:30Z-
dc.date.available2021-09-04T10:17:30Z-
dc.date.created2021-06-18-
dc.date.issued2015-12-
dc.identifier.issn1530-437X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/91831-
dc.description.abstractThe conventional infrared (IR) proximity-based three-directional (3D) motion gesture sensors (MGSs) detect hand motion by using either a single IR LED and multiple photosensors or multiple IR LEDs and a single photosensor. Since an IR LED is the most power hungry component, MGSs with a single IR LED and multiple photosensors are preferred for low-power applications. In this configuration, the recognition rate of an MGS is the function of the space between each photosensor. In order to achieve a high recognition rate, external photosensors resulting in a large form factor are inevitable. In this paper, a 3D MGS for low-power portable applications is proposed. The proposed optical blocks allow for a small form factor and ultra-low profile packaging by integrating photosensors in a single chip.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectHAND GESTURE-
dc.titleAn IR Proximity-Based 3D Motion Gesture Sensor for Low-Power Portable Applications-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Yong Sin-
dc.identifier.doi10.1109/JSEN.2015.2471845-
dc.identifier.scopusid2-s2.0-84944342883-
dc.identifier.wosid000366849500034-
dc.identifier.bibliographicCitationIEEE SENSORS JOURNAL, v.15, no.12, pp.7009 - 7016-
dc.relation.isPartOfIEEE SENSORS JOURNAL-
dc.citation.titleIEEE SENSORS JOURNAL-
dc.citation.volume15-
dc.citation.number12-
dc.citation.startPage7009-
dc.citation.endPage7016-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusHAND GESTURE-
dc.subject.keywordAuthorMotion gesture-
dc.subject.keywordAuthorproximity-
dc.subject.keywordAuthorphotosensor-
dc.subject.keywordAuthorintegrated-
dc.subject.keywordAuthorhuman-machine interface-
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