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- W3185866643 abstract "Remote photoplethysmography (rPPG) is a technique for non-contact estimation of human vital signs in video. It enriches knowledge about human state and makes interpretations of actions in human-computer interaction more accurate. An approach to distributed collection of rPPG dataset is proposed along with a central hub where data is accumulated as links to local storages hosted by participating organizations. An instrument for rPPG data collection is developed and described. It is an Android application, which captures dual camera video from front and rear cameras simultaneously. The front camera captures facial video while the rear camera with flash turned on captures a contact finger video. Facial videos constitute a dataset, while ground truth blood volume pulse (BVP) characteristics can be obtained by the analysis of correspondent finger videos. Such approach allows overcoming organizational and technical limitations of biometric data collection and hosting." @default.
- W3185866643 created "2021-08-02" @default.
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- W3185866643 date "2021-01-01" @default.
- W3185866643 modified "2023-10-14" @default.
- W3185866643 title "Towards Collecting Big Data for Remote Photoplethysmography" @default.
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- W3185866643 doi "https://doi.org/10.1007/978-3-030-80129-8_6" @default.
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