This paper presents a multimodal affective AI framework for engagement- and stress-aware adaptive human–robot interaction (HRI) using a simulated Pepper robot. The proposed system integrates real-time facial expression recognition, webcam-based remote photoplethysmography, neuro-affective language understanding, Russel...
Diego R. Faria, C. Premebida· International Conference on...· 0 citations
Unmanned Aerial Vehicles (UAVs) have emerged as a promising platform for firefighting operations due to their flexibility, low operational cost, and ability to acquire high-resolution imagery in locations that may be difficult or dangerous to access using conventional methods. Recent advances in deep learning have sign...
Matheus F. Kovaleski, Luís Garrote, C. Premebida et al.· International Conference on...· 0 citations
This work investigates the use of multispectral Landsat-8 imagery for active-fire segmentation under multi-scale wildfire size conditions and proposes a data-driven protocol to characterize fire-region size distributions through connected-component analysis and an interquartile range criterion.
Matheus F. Kovaleski, C. Premebida, J. Paulo· 0 citations
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