Autonomous rehabilitation systems must not only recognize human motion but also provide structured feedback to support users without continuous therapist supervision. This paper presents a telerehabilitation pipeline that integrates skeleton-based exercise quality assessment and short-term motion prediction into a two-...
Lara Pereira, J. Paulo, P. Santos et al.· 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.· 0 citations
Industry 5.0 (I5.0) repositions manufacturing around a human-centric vision in which cyber-physical systems must adapt to the worker rather than the other way around. Despite significant advances in worker state monitoring technologies, including markerless computer vision, wearable physiological sensors, and machine-l...
Lara Pereira, Luís Miguel D. F. Ferreira, J. Paulo· 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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