Mobile image processing to support educational geometry games

The mobile IT era is here, it is still growing and expanding at a steady rate and, most of all, it is entertaining. Mobile devices are used for entertainment, whether social through the so-called social networks, or private through web browsing, video watching or gaming. Youngsters make heavy use of these devices, and even small children show impressive adaptability and skill. However not much attention is directed towards education, especially in the case of young children. Too much time is usually spent in games which only purpose is to keep children entertained, time that could be put to better use such as developing elementary geometric notions. Taking advantage of this pocket computer scenario, it is proposed an application geared towards small children in the 6 – 9 age group that allows them to consolidate knowledge regarding geometric shapes, forming a stepping stone that leads to some fundamental mathematical knowledge to be exercised later on. To achieve this goal, the application will detect simple geometric shapes like squares, circles and triangles using the device’s camera. The novelty of this application will be a core real-time detection system designed and developed from the ground up for mobile devices, taking into account their characteristic limitations such as reduced processing power, memory and battery. User feedback was be gathered, aggregated and studied to assess the educational factor of the application.

La Cène ou la figure du banquet comme image de crise morale chez Zeng Fanzhi

Les yeux et les masques sont prévalents dans les oeuvres du peintre chinois contemporain Zeng Fanzhi (né en 1964), comme métaphore du jeu de pouvoir qui oppose les individus à l’appareil social et politique. Son oeuvre La Cène, d’après Leonard de Vinci, est un exemple frappant de cette préoccupation. Cet essai examine l’utilisation par l’artiste de cette représentation occidentale d’une crise morale (une trahison qui mène à la mort du Christ) pour exprimer la dystopie qui marque la Chine contemporaine. L’interprétation par Zeng de l’oeuvre de Vinci témoigne d’une compréhension profonde de sa signification à la Renaissance comme conflit entre le pouvoir terrestre et spirituel, auquel il surimpose la fonction du banquet dans la culture chinoise comme lieu de lutte politique. Un nihilisme détaché imprègne ce travail, à l’instar de l’interprétation métaphorique du banquet de Platon par Søren Kierkegaard, In Vino Veritas.

Entre a plasticidade do corpo e da imagem : contributos para uma viagem interactiva pelos territórios incertos da arte contemporânea

Este trabalho de investigação começou por ser estruturado em torno de quatro grandes capítulos (quatro grandes linhas de orientação temática), todos eles amplamente desenvolvidos no sentido de podermos cartografar alguns dos principais territórios e sintomas da arte contemporânea, sendo certo também, que cada um deles assenta precisamente nos princípios de uma estrutura maleável que, para todos os efeitos, se encontra em processo de construção (work in progress), neste caso, graças à plasticidade do corpo, do espaço, da imagem e do uso criativo das tecnologias digitais, no âmbito das quais, aliás, tudo se parece produzir, transformar e disseminar hoje em dia à nossa volta (quase como se de uma autêntica viagem interactiva se tratasse). Por isso, a partir daqui, todo o esforço que se segue procurará ensaiar uma hipótese de trabalho (desenvolver uma investigação) que, porventura, nos permita desbravar alguns caminhos em direcção aos intermináveis túneis do futuro, sempre na expectativa de podermos dar forma, função e sentido a um desejo irreprimível de liberdade criativa, pois, a arte contemporânea tem essa extraordinária capacidade de nos transportar para muitos outros lugares do mundo, tão reais e imaginários como a nossa própria vida. Assim sendo, há que sumariar algumas das principais etapas a desenvolver ao longo desta investigação. Ora, num primeiro momento, começaremos por reflectir sobre o conceito alargado de «crise» (a crise da modernidade), para logo de seguida podermos abordar a questão da crise das antigas categorias estéticas, questionando assim, para todos os efeitos, quer o conceito de «belo» (Platão) e de «gosto» (Kant), quer ainda o conceito de «forma» (Foccilon), não só no sentido de tentarmos compreender algumas das principais razões que terão estado na origem do chamado «fim da arte» (Hegel), mas também algumas daquelas que terão conduzido à estetização generalizada da experiência contemporânea e à sua respectiva disseminação pelas mais variadas plataformas digitais. Num segundo momento, procuraremos reflectir sobre alguns dos principais problemas da inquietante história das imagens, nomeadamente para tentarmos perceber como é que todas estas transformações técnicas (ligadas ao aparecimento da fotografia, do cinema, do vídeo, do computador e da internet) terão contribuído para o processo de instauração e respectivo alargamento daquilo que todos nós ficaríamos a conhecer como a nova «era da imagem», ou a imagem na «era da sua própria reprodutibilidade técnica» (Benjamin), pois, só assim é que conseguiremos interrogar este imparável processo de movimentação, fragmentação, disseminação, simulação e interacção das mais variadas «formas de vida» (Nietzsche, Agamben). Entretanto, chegados ao terceiro grande momento, interessa-nos percepcionar a arte contemporânea como uma espécie de plataforma interactiva que, por sua vez, nos levará a interpelar alguns dos principais dispositivos metafóricos e experimentais da viagem, neste caso, da viagem enquanto linha facilitadora de acesso à arte, à cultura e à vida contemporânea em geral, ou seja, todo um processo de reflexão que nos incitará a cartografar alguns dos mais atractivos sintomas provenientes da estética do flâneur (na perspectiva de Rimbaud, Baudelaire, Long e Benjamin) e, consequentemente, a convocar algumas das principais sensações decorrentes da experiência altamente sedutora daqueles que vivem mergulhados na órbita interactiva do ciberespaço (na condição de ciberflâneurs), quase como se o mundo inteiro, agora, fosse tão somente um espaço poético «inteiramente navegável» (Manovich). Por fim, no quarto e último momento, procuraremos fazer uma profunda reflexão sobre a inquietante história do corpo, principalmente com o objectivo de reforçar a ideia de que apesar das suas inúmeras fragilidades biológicas (um ser que adoece e morre), o corpo continua a ser uma das «categorias mais persistentes de toda a cultura ocidental» (Ieda Tucherman), não só porque ele resistiu a todas as transformações que lhe foram impostas historicamente, mas também porque ele se soube reinventar e readaptar pacientemente face a todas essas transformações históricas. Sinal evidente de que a sua plasticidade lhe iria conferir, principalmente a partir do século XX («o século do corpo») um estatuto teórico e performativo verdadeiramente especial. Tão especial, aliás, que basta termos uma noção, mesmo que breve, da sua inquietante história para percebermos imediatamente a extraordinária importância dalgumas das suas mais variadas transformações, atracções, ligações e exibições ao longo das últimas décadas, nomeadamente sob o efeito criativo das tecnologias digitais (no âmbito das quais se processam algumas das mais interessantes operações de dinamização cultural e artística do nosso tempo). Em suma, esperamos sinceramente que este trabalho de investigação possa vir a contribuir para o processo de alargamento das fronteiras cada vez mais incertas, dinâmicas e interactivas do conhecimento daquilo que parece constituir, hoje em dia, o jogo fundamental da nossa contemporaneidade.

Hand gesture recognition for human computer interaction : a comparative study of different image features

Hand gesture recognition for human computer interaction, being a natural way of human computer interaction, is an area of active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them to convey information or for device control. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. In this study we try to identify hand features that, isolated, respond better in various situations in human-computer interaction. The extracted features are used to train a set of classifiers with the help of RapidMiner in order to find the best learner. A dataset with our own gesture vocabulary consisted of 10 gestures, recorded from 20 users was created for later processing. Experimental results show that the radial signature and the centroid distance are the features that when used separately obtain better results, with an accuracy of 91% and 90,1% respectively obtained with a Neural Network classifier. These to methods have also the advantage of being simple in terms of computational complexity, which make them good candidates for real-time hand gesture recognition.

Quantitative image analysis as a tool for Yarrowia lipolytica dimorphic growth evaluation in different culture media

Yarrowia lipolytica, a yeast strain with a huge biotechnological potential, capable to produce metabolites such as γ-decalactone, citric acid, intracellular lipids and enzymes, possesses the ability to change its morphology in response to environmental conditions. In the present study, a quantitative image analysis (QIA) procedure was developed for the identification and quantification of Y. lipolytica W29 and MTLY40-2P strains dimorphic growth, cultivated in batch cultures on hydrophilic (glucose and N-acetylglucosamine (GlcNAc) and hydrophobic (olive oil and castor oil) media. The morphological characterization of yeast cells by QIA techniques revealed that hydrophobic carbon sources, namely castor oil, should be preferred for both strains growth in the yeast single cell morphotype. On the other hand, hydrophilic sugars, namely glucose and GlcNAc caused a dimorphic transition growth towards the hyphae morphotype. Experiments for γ-decalactone production with MTLY40-2P strain in two distinct morphotypes (yeast single cells and hyphae cells) were also performed. The obtained results showed the adequacy of the proposed morphology monitoring tool in relation to each morphotype on the aroma production ability. The present work allowed establishing that QIA techniques can be a valuable tool for the identification of the best culture conditions for industrial processes implementation.

Exploring TM image texture and its relationships with biomass estimation in Rondônia, Brazilian Amazon

Many texture measures have been developed and used for improving land-cover classification accuracy, but rarely has research examined the role of textures in improving the performance of aboveground biomass estimations. The relationship between texture and biomass is poorly understood. This paper used Landsat Thematic Mapper (TM) data to explore relationships between TM image textures and aboveground biomass in Rondônia, Brazilian Amazon. Eight grey level co-occurrence matrix (GLCM) based texture measures (i.e., mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment, and correlation), associated with seven different window sizes (5x5, 7x7, 9x9, 11x11, 15x15, 19x19, and 25x25), and five TM bands (TM 2, 3, 4, 5, and 7) were analyzed. Pearson's correlation coefficient was used to analyze texture and biomass relationships. This research indicates that most textures are weakly correlated with successional vegetation biomass, but some textures are significantly correlated with mature forest biomass. In contrast, TM spectral signatures are significantly correlated with successional vegetation biomass, but weakly correlated with mature forest biomass. Our findings imply that textures may be critical in improving mature forest biomass estimation, but relatively less important for successional vegetation biomass estimation.

Measuring end-to-end delay in real-time auralisation systems

One of the major challenges in the development of an immersive system is handling the delay between the tracking of the user’s head position and the updated projection of a 3D image or auralised sound, also called end-to-end delay. Excessive end-to-end delay can result in the general decrement of the “feeling of presence”, the occurrence of motion sickness and poor performance in perception-action tasks. These latencies must be known in order to provide insights on the technological (hardware/software optimization) or psychophysical (recalibration sessions) strategies to deal with them. Our goal was to develop a new measurement method of end-to-end delay that is both precise and easily replicated. We used a Head and Torso simulator (HATS) as an auditory signal sensor, a fast response photo-sensor to detect a visual stimulus response from a Motion Capture System, and a voltage input trigger as real-time event. The HATS was mounted in a turntable which allowed us to precisely change the 3D sound relative to the head position. When the virtual sound source was at 90º azimuth, the correspondent HRTF would set all the intensity values to zero, at the same time a trigger would register the real-time event of turning the HATS 90º azimuth. Furthermore, with the HATS turned 90º to the left, the motion capture marker visualization would fell exactly in the photo-sensor receptor. This method allowed us to precisely measure the delay from tracking to displaying. Moreover, our results show that the method of tracking, its tracking frequency, and the rendering of the sound reflections are the main predictors of end-to-end delay.

Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques

Given the limitations of different types of remote sensing images, automated land-cover classifications of the Amazon várzea may yield poor accuracy indexes. One way to improve accuracy is through the combination of images from different sensors, by either image fusion or multi-sensor classifications. Therefore, the objective of this study was to determine which classification method is more efficient in improving land cover classification accuracies for the Amazon várzea and similar wetland environments - (a) synthetically fused optical and SAR images or (b) multi-sensor classification of paired SAR and optical images. Land cover classifications based on images from a single sensor (Landsat TM or Radarsat-2) are compared with multi-sensor and image fusion classifications. Object-based image analyses (OBIA) and the J.48 data-mining algorithm were used for automated classification, and classification accuracies were assessed using the kappa index of agreement and the recently proposed allocation and quantity disagreement measures. Overall, optical-based classifications had better accuracy than SAR-based classifications. Once both datasets were combined using the multi-sensor approach, there was a 2% decrease in allocation disagreement, as the method was able to overcome part of the limitations present in both images. Accuracy decreased when image fusion methods were used, however. We therefore concluded that the multi-sensor classification method is more appropriate for classifying land cover in the Amazon várzea.

Eating behavior and body image among psychology students

OBJECTIVE: To characterize eating habits and possible risk factors associated with eating disorders among psychology students, a segment at risk for eating disorders. METHOD: This is a cross-sectional study. The questionnaires Bulimic Investigatory Test Edinburgh (BITE), Eating Attitudes Test (EAT-26), Body Shape Questionnaire (BSQ) and a variety that considers related issues were applied. Statistical Package for the Social Sciences (SPSS) 11.0 was utilized in analysis. The study population was composed of 175 female students, with a mean age of 21.2 (DP ± 3.6 years). RESULTS: A positive result was detected on the EAT-26 for 6.9% of the cases (CI95%: 3.6-11.7%). The prevalence of increased symptoms and intense gravity, according to the BITE questionnaire was 5% (CI95%: 2.4-9.5%) and 2.5% (CI95%: 0.7-6.3%), respectively. According to the findings, 26.29% of the students presented abnormal eating behavior. The population with moderate/severe BSQ scores presented dissatisfaction with corporal weight. CONCLUSION: The results indicate that attention must be given to eating behavior risks within this group. A differentiated gaze is justified with respect to these future professionals, whose practice is jeopardized in cases in which they are themselves the bearers of installed symptoms or precursory behavior.

Body image dissatisfaction and its relationship with physical activity and body mass index in Brazilian adolescents

Objective: To evaluate body image dissatisfaction and its relationship with physical activity and body mass index in a Brazilian sample of adolescents. Methods: A total of 275 adolescents (139 boys and 136 girls) between the ages of 14 and 18 years completed measures of body image dissatisfaction through the Contour Drawing Scale and current physical activity by the International Physical Activity Questionnaire. Weight and height were also measured for subsequent calculation of body mass index. Results: Boys and girls differed significantly regarding body image dissatisfaction, with girls reporting higher levels of dissatisfaction. Underweight and eutrophic boys preferred to be heavier, while those overweight preferred be thinner and, in contrast, girls desired to be thinner even when they are of normal weight. Conclusion: Body image dissatisfaction was strictly related to body mass index, but not to physical activity.

Equations of motion for constrained systems

"Series title: Springerbriefs in applied sciences and technology, ISSN 2191-530X"

Methods to solve the equations of motion

"Series title: Springerbriefs in applied sciences and technology, ISSN 2191-530X"

Automating the testing process of image processing algorithms

As digital imaging processing techniques become increasingly used in a broad range of consumer applications, the critical need to evaluate algorithm performance has become recognised by developers as an area of vital importance. With digital image processing algorithms now playing a greater role in security and protection applications, it is of crucial importance that we are able to empirically study their performance. Apart from the field of biometrics little emphasis has been put on algorithm performance evaluation until now and where evaluation has taken place, it has been carried out in a somewhat cumbersome and unsystematic fashion, without any standardised approach. This paper presents a comprehensive testing methodology and framework aimed towards automating the evaluation of image processing algorithms. Ultimately, the test framework aims to shorten the algorithm development life cycle by helping to identify algorithm performance problems quickly and more efficiently.