首页|University College London (UCL) Researcher Publishes New Studies and Findings in the Area of Machine Learning (Imaging Blood Volume Pulse Dataset: RGB-Thermal R emote Photoplethysmography Dataset with High-Resolution Signal-Quality Labels)
University College London (UCL) Researcher Publishes New Studies and Findings in the Area of Machine Learning (Imaging Blood Volume Pulse Dataset: RGB-Thermal R emote Photoplethysmography Dataset with High-Resolution Signal-Quality Labels)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews reporting from London, U nited Kingdom, by NewsRx journalists, research stated, “Remote photoplethysmography (rPPG) has emerged as a non-intrusive and promising physiological sensing c apability inhuman-computer interface (HCI) research, gradually extending its ap plications in health-monitoring andclinical care contexts.”
University College London (UCL)LondonUnited KingdomEuropeCyborgsEmerging TechnologiesMachine Learning
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