64 research outputs found

    Top-down human pose estimation with depth images and domain adaptation

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    In this paper, a method for estimation of human pose is proposed, making use of ToF (Time of Flight) cameras. For this, a YOLO based object detection method was used, to develop a top-down method. In the first stage, a network was developed to detect people in the image. In the second stage, a network was developed to estimate the joints of each person, using the image result from the first stage. We show that a deep learning network trained from scratch with ToF images yields better results than taking a deep neural network pretrained on RGB data and retraining it with ToF data. We also show that a top-down detector, with a person detector and a joint detector works better than detecting the body joints over the entire image.This work is supported by: European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project no 002797; Funding Reference: POCI-01-0247-FEDER-002797]

    Automated generation of synthetic in-car dataset for human body pose detection

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    In this paper, a toolchain for the generation of realistic synthetic images for human body pose detection in an in-car environment is proposed. The toolchain creates a customized synthetic environment, comprising human models, car, and camera. Poses are automatically generated for each human, taking into account a per-joint axis Gaussian distribution, constrained by anthropometric and range of motion measurements. Scene validation is done through collision detection. Rendering is focused on vision data, supporting time-of-flight (ToF) and RGB cameras, generating synthetic images from these sensors. Ground-truth data is then generated, comprising the car occupants' body pose (2D/3D), as well as full body RGB segmentation frames with different body parts' labels. We demonstrate the feasibility of using synthetic data, combined with real data, to train distinct machine learning agorithms, demonstrating the improvement in their algorithmic accuracy for the in-car scenario.This work is supported by: European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project no 039334; Funding Reference: POCI-01-0247-FEDER-039334]

    A system for the generation of in-car human body pose datasets

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    Published online: 8 October 2020With the advent of autonomous vehicles, detection of the occupants’ posture is crucial to tackle the needs of infotainment interaction or passive safety systems. Generative approaches have been recently proposed for human body pose in-car detection, but this type of approaches requires a large training dataset for a feasible accuracy. This requirement poses a difficulty, given the substantial time required to annotate such large amount of data. In the in-car scenario, this requirement risk increases even further, since a robust human body pose ground-truth system capable of working in it is needed but inexistent. Currently, the gold standard for human body pose capture is based on optical systems, requiring up to 39 visible markers for a plug-in gait model, which in this case are not feasible given the occlusions inside the car. Other solutions, such as inertial suits, also have limitations linked to magnetic sensitivity and global positioning drift. In this paper, a system for the generation of images for human body pose detection in an in-car environment is proposed. To this end, we propose to smartly combine inertial and optical systems to suppress their individual limitations: By combining the global positioning of 3 visible head markers provided by the optical system with the inertial suit’s relative human body pose, we obtain an occlusion-ready, drift-free full-body global positioning system. This system is then spatially and temporally calibrated with a time-of-flight sensor, automatically obtaining in-car image data with (multi-person) pose annotations. Besides quantifying the inertial suit inherent sensitivity and accuracy, the feasibility of the overall system for human body pose capture in the in-car scenario was demonstrated. Our results quantify the errors associated with the inertial suit, pinpoint some sources of the system’s uncertainty and propose how to minimize some of them. Finally, we demonstrate the feasibility of using system generated data (which was made publicly available), independently or mixed with two publicly available generic datasets (not in-car), to train 2 machine learning algorithms, demonstrating the improvement in their algorithmic accuracy for the in-car scenario.This work is supported by: European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project n.º 002797; Funding Reference: POCI-01-0247-FEDER-002797]

    The Eastern Lower Tagus Valley Fault Zone in central Portugal : active faulting in a low-deformation region within a major river environment

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    Active faulting in the Lower Tagus Valley, Central Portugal, poses a significant seismic hazard that is not well understood. Although the area has been affected by damaging earthquakes during historical times, only recently has definitive evidence of Quaternary surface faulting been found along the western side of the Tagus River. The location, geometry and kinematics of active faults along the eastern side of the Tagus valley have not been previously studied. We present the first results of mapping and paleoseismic analysis of the eastern strand of the Lower Tagus Valley Fault Zone (LTVFZ). Geomorphological, paleoseismological, and seismic reflection studies indicate that the Eastern LTVFZ is a left-lateral strike-slip fault. The detailed mapping of geomorphic features and studies in two paleoseismic trenches show that surface fault rupture has occurred at least six times during the past 10 ka. The river offsets indicate a minimum slip rate on the order of 0.14–0.24 mm/yr for the fault zone. Fault trace mapping, geomorphic analysis, and paleoseismic studies suggest a maximum magnitude for the Eastern LTVFZ of Mw ~ 7.3 with a recurrence interval for surface ruptures ~ 1.7 ka. At least two events occurred after 1175 ± 95 cal yr BP. Single-event displacements are unlikely to be resolved in the paleoseismic trenches, thus our observations most probably represent the minimum number of events identified in the trenches

    O impacto da pandemia no desempenho de monitores de anatomia em processos de seleção de bolsas de uma instituição pública / The impact of the pandemic on the performance of anatomy monitors in scholarship selection processes at a public institution

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    Os processos seletivos de monitores da instituição pública federal são realizados no início de cada semestre letivo com avaliação prática e teórica do desempenho dos estudantes aptos a serem monitores de anatomia e neuroanatomia humana. Com isso, o objetivo do presente estudo foi avaliar o desempenho cognitivo dos estudantes candidatos ao processo seletivo de monitoria de anatomia e neuroanatomia humana entre os anos de 2018 e 2022. Nesse viés, o estudo em questão identificou o impacto negativo do ensino remoto durante a pandemia do Coronavírus nos anos de 2020 e 2021. Desse modo, a análise verificou que apesar dos esforços dispendidos com o uso de tecnologias, metodologias ativas de ensino aprendizagem, estudo híbrido com aulas síncronas e assíncronas, os estudantes que participaram do processo seletivo presencial no ano de 2022 demonstraram desempenhos piores em comparação com os estudantes que participaram dos processos seletivos presenciais entre os anos de 2018 a 2019. Depreende-se, então, que o ensino presencial de anatomia humana é essencial para o bom aprendizado dos conteúdos abordados na unidade curricular do curso de medicina da instituição pública avaliada

    MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

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    Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio

    Impacto clínico, terapêutico e social do canabidiol na epilepsia recorrente / Clinical, therapeutic and social impact of cannabidiol on recurrent epilepsy

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    Introdução: Estima-se que mais de 50 milhões de pessoas no mundo tenham diagnóstico de epilepsia, no entanto, um terço dessas pessoas não possuem a patologia controlada, apresentando quadros de convulsão e epilepsia recorrente. Desta forma, buscar novas terapêuticas antiepilépticas são necessárias, a atividade antiepiléptica dos canabinóides têm-se mostrado com grande poder terapêutico. Objetivo: Responder quais os impactos clínicos, terapêuticos e sociais do uso do canabidiol (CBD) em pacientes com epilepsia recorrente. Metodologia: Trata-se de uma revisão bibliográfica no método de revisão de integrativa de literatura, realizado entre os meses de abril e maio de 2021, nas bases de dados da MEDLINE/Pubmed e LILACS, por meio dos descritores e operador booleano “Canabidiol” AND “Epilepsia”. Localizando-se artigos publicados entre os anos de 2016 e maio de 2021. Resultados e discussões: O mecanismo de ação ainda não é bem esclarecido, mas é reconhecido sua atuação sobre as manifestações psiquiátricas e neurológicas nas fendas pré-sinápticas. A terapia associada entre CBD e as terapias convencionais para epilepsia apresentaram melhora significativa nos sintomas epilépticos, havendo relatos de melhora completa dos sintomas em até 87,5% dos pacientes. No entanto, cerca de 10% dos pacientes queixam-se de efeitos indesejáveis e desagradáveis como aumento da ansiedade, angústia, medo, tremor e sudorese excessiva durante o tratamento, dado que seu efeito é dose dependente, necessitando de atenção do prescritor para os efeitos indesejados. O impacto social é relatado pelos pacientes como melhora na qualidade de vida e laboral, dada a diminuição da frequência de eventos convulsivos. Conclusão: A terapêutica associada do CBD com a terapia convencional na epilepsia recorrente mostra-se com grandes impactos clínicos e sociais para os pacientes acometidos. No entanto, requer atenção dos prescritores para manifestações clínicas de efeitos colaterais para readequação terapêutica e seguimento. Diante disto, a importância de novos estudos terapêuticos com o CBD é estabelecida pela necessidade de compreender mecanismos de ação e atuação em demais áreas complexas cerebrais que a epilepsia atua para ajudar no tratamento de diversas manifestações desta patologia neurológica

    Uso de AAS em pacientes cardiopatas e ocorrência de Úlcera Perfurada quais as melhores soluções? uma revisão sistemática com metánalise

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    A administração do ácido acetilsalicílico (AAS) é uma das medidas indicadaspelos médicos em caso de suspeita de infarto agudo do miocárdio. De acordo com os especialistas, o medicamento serve para diminuir a agregação de plaquetas e inibir a formação de coágulos no interior das artérias. O objetivo deste estudo é verificar na literatura o uso do Ácido Acetilsalicílico (AAS) em pessoas cardiopatas e sua possível relação com o aparecimento de úlcera. Trata-se de uma revisão sistemática com base em publicações, dos último cinco anos, que essa temática, extraídas de bases de dados eletrônicas como Scielo, PubMed, Lilacs, BVS, Embase e Medline, em língua inglesa e portuguesa. Dos estudo que se aproximaram do objetivo da pesquisa, muitos não relataram a estreita relação entre o uso AAS e o surgimento de úlcera. Assim, espera-se que este estudo sirva de incentivo para que mais estudos sejam realizados sobre essa temática afim de estabelecer e conhecer se há alguma relação entre o fármaco e a doença
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