Incorporating a humanoid robot to motivate the geometric figures learning

Technology has been introduced into educational environments to facilitate learning and engage the students interest. Robotics can be an interesting alternative to explore theoretical concepts covered in class. In this paper, a computational system capable of detecting objects was incorporated into the robot NAO, so it can Interact with students, recognizing geometric shapes with overlap. The system consists of two models of neural networks and was evaluated through a sequence of didatic activities presented to students of the 5th year, aiming to encourage them to perform the tasks. The robot operates autonomously, recognizing and counting the diferente objects in the image. The results show that the children felt very motivated and engaged to fulfill the tasks.São Paulo State Research Foundation (FAPESP)Brazilian National Research Council (CNPq

Attention based object recognition applied to a humanoid robot

Analysis and recognition of objects in complex scenes is a demanding task for a computer. There is a selection mechanism, named visual attention, that optimizes the visual system, in which only the important parts of the scene are considered at a time. In this work, an object-based visual attention model with both bottom-up and top-down modulation is applied to the humanoid robot NAO to allow a new attention procedure to the robot. This means that the robot, by using its cameras, can recognize geometric figures even with the competition for the attention of all the objects in the image in real time. The proposed method is validated through some tests with 13 to 14 year old kids interacting with the robot NAO that provides some tips (such as the perimeter and area calculation formulas) and recognizes the figure showed by these children. The results are very promissor and show that the proposed approach can contribute for inserting robotics in the educacional context.São Paulo State Research Foundation (FAPESP)Brazilian National Research Council (CNPq

Inserção de um robô humanoide no ensino de objetos geométricos 2D sobrepostos

Robotics, introduced into educational environments, can be an interesting alternative to explore theoretical concepts covered in class, faciliting learning and engaging the student’s interest.In this paper, a computational system capable of detect objects was incorporated into the robot NAO, so that can interact with students, recognizing geometric shapes with overlap. The system consists of two models of neural networks and was evaluated through a sequence of didatic activities presented to students of the 5th year, aiming to encourage them. The robot operates autonomously, recognizing and counting the diferente objects in the image. The results show that the children felt very motivated and engaged to fulfill the tasks.A robótica, inserida em ambientes educacionais, é uma alternativa interessante para explorar conceitos teóricos abordados em sala de aula, facilitando o aprendizado e cativando o interesse dos alunos. Neste artigo, um sistema computacional capaz de detectar objetos foi incorporado ao robô NAO para que o mesmo possa interagir com alunos, reconhecendo figuras geométricas com sobreposição. O sistema é constituído por dois modelos de Redes Neurais e foi avaliado por meio de uma sequência de atividades didáticas apresentadas a alunos do 5o ano, visando estimulá-los. O robô atua autônomamente, reconhecendo e contando os diferentes objetos na imagem. Os resultados apresentados mostram que as crianças se sentiram muito motivadas para cumprir as tarefas

Detection of tear film breakup time using videokeratoscopy image processing

A Síndrome do olho seco (DED, do inglês Dry Eye Disease) é uma doença multifatorial da superfície ocular, acompanhada de diferentes sintomas que podem impactar, significativamente, a qualidade de vida dos indivíduos acometidos. Um diagnóstico preciso depende de diferentes exames, que podem levar a tratamentos adequados. Dentre as técnicas utilizadas para o auxílio ao diagnóstico desta doença está a determinação do tempo de quebra do filme lacrimal (TBUT, do inglês Tear film Breakup Time), que indica o tempo, em segundos, desde a abertura completa do olho, até o primeiro sinal de ruptura do filme lacrimal. Existem, na literatura, diferentes formas de obter essa medida; no entanto, são preferíveis os métodos não-invasivos, pois dispensam o uso de substâncias no olho, e até mesmo o contato entre o instrumento de medida e o olho do paciente. Nesse sentido, diversos trabalhos utilizam um topógrafo de córnea (ou videoceratoscópio) para a obtenção das imagens, pois este equipamento projeta, sobre a córnea, um padrão de anéis concêntricos que, à medida que o filme lacrimal resseca, apresentam distorções. Neste trabalho é desenvolvido um método não-invasivo de avaliação da estabilidade do filme lacrimal, que utiliza imagens de videoceratoscopia e, baseado nas distorções dos anéis e no comportamento dessas distorções em olhos saudáveis, é capaz de determinar o TBUT. Além disso, é proposta uma medida para quantificar o grau de severidade do ressecamento do olho do indivíduo, que pode auxiliar no acompanhamento de tratamentos adotados. Os resultados indicam que o método é capaz de determinar o TBUT com sensibilidade de 100% e especificidade de 67%, apresentando um aumento notável na sensibilidade, comparado aos trabalhos existentes.Dry eye disease (DED) is a multifactorial disease of the ocular surface, accompanied by different symptoms that can significantly impact the quality of life of affected individuals. An accurate diagnosis depends on different tests, which can lead to appropriate treatments. Among the techniques used to aid in the diagnosis of this disease, the determination of the tear film breakup time (TBUT), which indicates the time in seconds that elapses between the last eye blink and the appearance of the first dry spot in the tear film, is widely used. Different methods to obtain this measure are found in literature; however, non-invasive methods are preferable, as they do not require the use of substances in the eye, and even contact between the measuring instrument and the patient\'s eye. Thus, the most used device to obtain images is the corneal topographer (or videokeratoscope), that projects a pattern of concentric rings onto the corneal surface and as the tear film dries out, distortions in these rings appear. In this work, a non-invasive method for assessing the stability of the tear film is developed, which uses videokeratoscopy images and, based on ring distortions and the behavior of these distortions in healthy eyes, is able to determine TBUT. In addition, a measure to quantify the degree of severity of the individual\'s dry eye is proposed, which can assist in monitoring adopted treatments. The results indicate that the method is able to determine TBUT with a sensitivity of 100% and specificity of 67%, presenting a notable increase in sensitivity, compared to existing works

Inserção de um robô humanoide no Ensino de Objetos Geométricos 2D sobrepostos

Robotics, introduced into educational environments, can be an interesting alternative to explore theoretical concepts covered in class, faciliting learning and engaging the student’s interest.In this paper, a computational system capable of detect objects was incorporated into the robot NAO, so that can interact with students, recognizing geometric shapes with overlap. The system consists of two models of neural networks and was evaluated through a sequence of didatic activities presented to students of the 5th year, aiming to encourage them. The robot operates autonomously, recognizing and counting the diferente objects in the image. The results show that the children felt very motivated and engaged to fulfill the tasks.A robótica, inserida em ambientes educacionais, é uma alternativa interessante para explorar conceitos teóricos abordados em sala de aula, facilitando o aprendizado e cativando o interesse dos alunos. Neste artigo, um sistema computacional capaz de detectar objetos foi incorporado ao robô NAO para que o mesmo possa interagir com alunos, reconhecendo figuras geométricas com sobreposição. O sistema é constituído por dois modelos de Redes Neurais e foi avaliado por meio de uma sequência de atividades didáticas apresentadas a alunos do 5o ano, visando estimulá-los. O robô atua autônomamente, reconhecendo e contando os diferentes objetos na imagem. Os resultados apresentados mostram que as crianças se sentiram muito motivadas para cumprir as tarefas

REPLICCAR II Study: Data quality audit in the Paulista Cardiovascular Surgery Registry.

The quality of data in electronic healthcare databases is a critical component when used for research and health practice. The aim of the present study was to assess the data quality in the Paulista Cardiovascular Surgery Registry II (REPLICCAR II) using two different audit methods, direct and indirect. The REPLICCAR II database contains data from 9 hospitals in São Paulo State with over 700 variables for 2229 surgical patients. The data collection was performed in REDCap platform using trained data managers to abstract information. We directly audited a random sample (n = 107) of the data collected after 6 months and indirectly audited the entire sample after 1 year of data collection. The indirect audit was performed using the data management tools in REDCap platform. We computed a modified Aggregate Data Quality Score (ADQ) previously reported by Salati et al. (2015). The agreement between data elements was good for categorical data (Cohen κ = 0.7, 95%CI = 0.59-0.83). For continuous data, the intraclass coefficient (ICC) for only 2 out of 15 continuous variables had an ICC < 0.9. In the indirect audit, 77% of the selected variables (n = 23) had a good ADQ score for completeness and accuracy. Data entry in the REPLICCAR II database proved to be satisfactory and showed competence and reliable data for research in cardiovascular surgery in Brazil

Núcleos de Ensino da Unesp: artigos 2008

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

Neotropical freshwater fisheries : A dataset of occurrence and abundance of freshwater fishes in the Neotropics

The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large-scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications