Publications by authors named "R N Fialho"

Human Pose Estimation (HPE) is a computer vision application that utilizes deep learning techniques to precisely locate Key Joint Points (KJPs), enabling the accurate description of a person's pose. HPE models can be extended to facilitate Range of Motion (ROM) assessment by leveraging patient photographs. This study aims to evaluate and compare the performance of HPE models for assessing upper limbs ROM.

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Planted forest soils can have great potential for CO-C sequestration, mainly due to belowground C inputs, which impact deep soil C (DSC) accumulation. However, there are still gaps in understanding the CO emission dynamics in eucalypt plantations. Therefore, we used isotopic techniques to investigate the dynamics of the soil surface CO-C flux and CO-C concentration with depth for a eucalypt plantation influenced by different C inputs (above- and belowground).

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The development of green synthesized polymeric nanoparticles with anticancer studies has been an emerging field in academia and the pharmaceutical and chemical industries. Vegetable oils are potential substitutes for petroleum derivatives, as they present a clean and environmentally friendly alternative and are available in abundance at relatively low prices. Biomass-derived chemicals can be converted into monomers with a unique structure, generating materials with new properties for the synthesis of sustainable monomers and polymers.

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Gesture-based serious games can be based on playful and interactive scenarios to enhance user engagement and experience during exercises, thereby increasing efficiency in the motor rehabilitation process. This study aimed to develop the (RG) as a complementary therapy tool for upper limb rehabilitation in clinics and home environments and to evaluate aspects of usability and user experience of it. The evaluation consisted of the use of a gesture-based serious game with motor rehabilitation sessions managed in a web platform.

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Background And Objective: Non-invasive methods for postural assessment are tools used for tracking and monitoring the progression of postural deviations. Different computer-based methods have been used to assess human posture, including mobile applications based on images and sensors. However, such solutions still require manual identification of anatomical points.

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