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Analyzing Participants' Engagement during Online Meetings Using Unsupervised Remote Photoplethysmography with Behavioral Features
April 9, 2024, 4:46 a.m. | Alexander Vedernikov, Zhaodong Sun, Virpi-Liisa Kykyri, Mikko Pohjola, Miriam Nokia, Xiaobai Li
cs.CV updates on arXiv.org arxiv.org
Abstract: Engagement measurement finds application in healthcare, education, advertisement, and services. The use of physiological and behavioral features is viable, but the impracticality of traditional physiological measurement arises due to the need for contact sensors. We demonstrate the feasibility of unsupervised remote photoplethysmography (rPPG) as an alternative for contact sensors in deriving heart rate variability (HRV) features, then fusing these with behavioral features to measure engagement in online group meetings. Firstly, a unique Engagement Dataset of …
abstract advertisement application arxiv cs.cv education engagement features healthcare measurement meetings sensors services type unsupervised
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