Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hyunduk | - |
dc.contributor.author | Lee, Sang-Heon | - |
dc.contributor.author | Sohn, Myoung-Kyu | - |
dc.date.accessioned | 2022-01-17T02:30:18Z | - |
dc.date.available | 2022-01-17T02:30:18Z | - |
dc.date.created | 2021-11-01 | - |
dc.date.issued | 2021-03 | - |
dc.identifier.issn | 2586-0852 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/16115 | - |
dc.description.abstract | Remote heart rate (rHR) estimation, which aims to measure heart activities without any physical contact with the subject, is performed using remote photoplethys- mography (rPPG) and has great potential in many applications. In this paper, we introduce a remote heart rate estimation algorithm to detect driver drowsiness. The proposed method consists of two parts: an rPPGNet for PPG signal prediction from input video frames and an rHRNet for heart rate estimation from predicted PPG signal. Moreover, we apply a skin-based attention module and partition constraint to estimate more accurate rHR. To evaluate the performance of the proposed network, we train and test the proposed network on three public datasets. | - |
dc.language | English | - |
dc.publisher | Journal of Industrial Information Technology and Application | - |
dc.title | Remote Heart Rate Estimation for Driver Drowsiness Detection | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | Journal of Industrial Information Technology and Application, v.5, no.1, pp.397 - 400 | - |
dc.description.isOpenAccess | TRUE | - |
dc.subject.keywordAuthor | remote heart rate | - |
dc.subject.keywordAuthor | remote photoplethysmography | - |
dc.subject.keywordAuthor | skin-based attention module | - |
dc.subject.keywordAuthor | spatio-temporal convolution network | - |
dc.subject.keywordAuthor | driver drowsiness detection | - |
dc.identifier.url | http://jiita.org/v5n11/ | - |
dc.citation.endPage | 400 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 397 | - |
dc.citation.title | Journal of Industrial Information Technology and Application | - |
dc.citation.volume | 5 | - |
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