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dc.contributor.author박지원-
dc.contributor.author신준철-
dc.contributor.author허성훈-
dc.contributor.author강종윤-
dc.contributor.author조경훈-
dc.contributor.author송현철-
dc.date.accessioned2024-01-19T11:03:36Z-
dc.date.available2024-01-19T11:03:36Z-
dc.date.created2022-10-18-
dc.date.issued2022-09-
dc.identifier.issn1225-5475-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/114560-
dc.description.abstractWith the recent widespread implementation of Internet of Things (IoT) technology driven by Industry 4.0, self-powered sensors for wearable and implantable systems are increasingly gaining attention. Piezoelectric nanogenerators (PENGs) and triboelectric nanogenerators (TENGs), which convert biomechanical energy into electrical energy, can be considered as efficient self-powered sensor platforms. These are energy harvesters that are used as low-power energy sources. However, they can also be used as sensors when anoutput signal is used to sense any mechanical stimuli. For sensors, collecting high-quality data is important. However, the accuracy of sensing for practical applications is equally important. This paper provides a brief review of the performance advanced by the materials and structures of the latest PENG/TENG-based wearable sensors and intelligent applications applied using artificial intelligence (AI).-
dc.languageEnglish-
dc.publisher한국센서학회-
dc.titleCutting-edge Piezo/Triboelectric-based Wearable Physical Sensor Platforms-
dc.typeArticle-
dc.identifier.doi10.46670/JSST.2022.31.5.301-
dc.description.journalClass2-
dc.identifier.bibliographicCitation센서학회지, v.31, no.5, pp.301 - 306-
dc.citation.title센서학회지-
dc.citation.volume31-
dc.citation.number5-
dc.citation.startPage301-
dc.citation.endPage306-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClasskci-
dc.description.journalRegisteredClassother-
dc.identifier.kciidART002884850-
dc.subject.keywordAuthorPENG/TENG-based wearable sensors-
dc.subject.keywordAuthorSelf-powered sensors-
dc.subject.keywordAuthorArtificial intelligence-
dc.subject.keywordAuthorIntelligent sensor-
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KIST Article > 2022
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