A multimodal affective computing model is introduced to objectively assess users’ emotional responses by integrating electrocardiogram signals and posture-based features extracted through computer vision to explore the potential viability of combining immersive environments and multimodal affective computing to explore...
Juan Benavides, Mayra Carrión-Toro, Cindy-Pamela Lopez et al.· Italian National Conference...· 0 citations
Background: Preeclampsia remains a major cause of maternal and perinatal morbidity and mortality, and machine learning (ML) and artificial intelligence (AI) models have increasingly been proposed for risk prediction, diagnosis, monitoring, and prognosis. However, the extent to which key methodological details are visib...
María Pérez, Andrés Bastidas-Fuertes, Monserrate Intriago-Pazmiño et al.· Machine Learning and Knowled...· 0 citations
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