02121nas a2200337   4500000000100000000000100001000000100002008004100003260000800044653002400052653003300076653003400109653001700143653002300160653001300183653001900196653002100215653002300236653002500259653002500284100001600309700001800325700001900343700001900362700001200381245008800393856014200481490000700623520113300630022002001763       2019                            d  coct10aAcquisition systems10aIntangible cultural heritage10aIntangible cultural heritages10aMulti sensor10aMultisensor system10apainting10aReal-time data10aResearch studies10aSensor data fusion10aTraditional cultures10aTraditional painting1 aTaewon Choi1 aSoonchul Jung1 aYoon-Seok Choi1 aHyeong-Ju Jeon1 aJin Kim00aAcquisition System Based on Multisensors for Preserving Traditional Korean Painting  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073473758&doi=10.3390%2fs19194292&partnerID=40&md5=85c7d69c428ba89f678897c62b8f0d980 v193 aRapid industrialization has significantly influenced people’s lifestyles in the recent decades, and the influence of traditional culture is diminishing. Recently, several studies attempted to simultaneously utilize various sensors to record delicate and sophisticated performances of intangible cultural heritage (ICH). Although painting is one of the most common ICH of human history, few research studies have recorded traditional painting work. In this paper, we aim to lay the groundwork for reviving Korean painting, even if there would be no painters to produce these traditional Korean paintings in the future. We propose a novel multisensor-based acquisition system that records traditional Korean painting work while minimizing interference in the work. The proposed system captures real-time data originating from the painter, brushes, pigments, and canvas, which are the essential components of the painting work. We utilized the proposed system to capture the painting work by two experts, and we visualize the captured data. We showed the various results of statistical analysis, and also discussed the usability.  a14248220 (ISSN)