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  • Pain overview: classification, conceptual framework, and assessment
    Publication . Duarte, Nuno M.; Garcia-Pedraza, José A.; Santos, Marlene E.
    The ability to evict noxious stimulus increases the likelihood of surviving. It is the result of interactions between specialized cells, the spinal cord, and the brain. Nociceptive pain is related to direct injury of the body. Other forms of pain may not be linked to visible injury. Being multidimensional in nature, classification attempts are unable to embark the plethora of elements that constitute pain. Pain theories can explain the nociceptive quality of it while failing to explain other qualities. Efforts culminated in the development of gate control theory, which spawned many advances in pain management. Assessment tools are useful to determine the intensity of pain and its impact on quality of life. Judicious use of these scales allows healthcare professionals to proper manage patients pain and are validated instruments widely used in research. This short review aims to expand awareness about the phenomenon of pain, its mechanisms, and its measurement.
  • From a Visual Scene to a Virtual Representation: A Cross-Domain Review
    Publication . Pereira, Américo; Carvalho, Pedro; Pereira, Nuno; Viana, Paula; Côrte-Real, Luís
    The widespread use of smartphones and other low-cost equipment as recording devices, the massive growth in bandwidth, and the ever-growing demand for new applications with enhanced capabilities, made visual data a must in several scenarios, including surveillance, sports, retail, entertainment, and intelligent vehicles. Despite significant advances in analyzing and extracting data from images and video, there is a lack of solutions able to analyze and semantically describe the information in the visual scene so that it can be efficiently used and repurposed. Scientific contributions have focused on individual aspects or addressing specific problems and application areas, and no cross-domain solution is available to implement a complete system that enables information passing between cross-cutting algorithms. This paper analyses the problem from an end-to-end perspective, i.e., from the visual scene analysis to the representation of information in a virtual environment, including how the extracted data can be described and stored. A simple processing pipeline is introduced to set up a structure for discussing challenges and opportunities in different steps of the entire process, allowing to identify current gaps in the literature. The work reviews various technologies specifically from the perspective of their applicability to an endto- end pipeline for scene analysis and synthesis, along with an extensive analysis of datasets for relevant tasks.