3,122 research outputs found

    A design pattern for multimodal and multidevice user interfaces

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    In this paper, we introduce the MVIC pattern for creating multidevice and multimodal interfaces. We discuss the advantages provided by introducing a new component to the MVC pattern for those interfaces which must adapt to different devices and modalities. The proposed solution is based on an input model defining equivalent and complementary sequence of inputs for the same interaction. In addition, we discuss Djestit, a javascript library which allows creating multidevice and multimodal input models for web applications, applying the aforementioned pattern. The library supports the integration of multiple devices (Kinect 2, Leap Motion, touchscreens) and different modalities (gestural, vocal and touch). Copyright is held by the owner/author(s)

    G-Gene: a gene alignment method for online partial stroke gestures recognition

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    The large availability of touch-sensitive screens fostered the research in gesture recognition. The Machine Learning community focused mainly on accuracy and robustness to noise, creating classifiers that precisely recognize gestures after their performance. Instead, the User Interface Engineering community developed compositional gesture descriptions that model gestures and their sub-parts. They are suitable for building guidance systems, but they lack a robust and accurate recognition support. In this paper, we establish a compromise between the accuracy and the provided information introducing G-Gene, a method for transforming compositional stroke gesture definitions into profile Hidden Markov Models (HMMs), able to provide both a good accuracy and information on gesture sub-parts. It supports online recognition without using any global feature, and it updates the information while receiving the input stream, with an accuracy useful for prototyping the interaction. We evaluated the approach in a user interface development task, showing that it requires less time and effort for creating guidance systems with respect to common gesture classification approaches

    A imagem de Alessandro Baricco no Brasil

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    Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão, Programa de Pós-Graduação em Estudos da Tradução, Florianópolis, 2013.Com a intenção de delinear o modo pelo qual o escritor italiano Alessandro Baricco se inseriu no sistema literário brasileiro e os caminhos percorridos pelos seus livros traduzidos, esta dissertação dá voz às experiências tradutórias de seus tradutores. A inserção de Bariccono Brasil tem seu início em 1997, através de uma proposição da Profa. Dra. Roberta Barni à editora Iluminuras da tradução de Oceano Mare. A partir daí, outras sete obras foram publicadas no Brasil, sendo três delas traduzidas por Roberta Barni e as outras quatro por quatro tradutores diferentes. De um lado, considera-se o tradutor como figura principal namediação entre culturas, e, de outro, se analisa a realidade desta figuradentro do sistema literário, sua invisibilidade, seus limites e o exercíciode sua profissão. A pesquisa conta, ainda, com críticas e resenhas referentes ao autor italiano publicadas em jornais consagrados no Brasil, considerando estas como parte constituinte da imagem de Baricco refletida em território nacional. Abstract : Intending to delineate the way the Italian writer Alessandro Baricco has been inserted in the Brazilian literary system and the paths his translated books have followed, this thesis gives voice to the translating experiences of his translators. Baricco's insertion in Brazil began in 1997, through a personal project of Dr. Roberta Barni, with her translation of Oceano Mare. Since then, seven other of his works have been published in Brazil, three of which were translated by Roberta Barni and the other four by four different translators. On the one hand,the translator is considered as the main figure in mediation betweencultures and, on the other, this figure's reality is analyzed within theliterary system: its invisibility, its limits and its professional practice. Criticisms and reviews of this Italian author published in well established Brazilian newspapers are also considered, with the understanding that they are part of Baricco's image reflected here

    Gesture modelling and recognition by integrating declarative models and pattern recognition algorithms

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    Gesture recognition approaches based on computer vision and machine learning mainly focus on recognition accuracy and robustness. Research on user interface development focuses instead on the orthogonal problem of providing guidance for performing and discovering interactive gestures, through compositional approaches that provide information on gesture sub-parts. We make a first step toward combining the advantages of both approaches. We introduce DEICTIC, a compositional and declarative gesture description model which uses basic Hidden Markov Models (HMMs) to recognize meaningful pre-defined primitives (gesture sub-parts), and uses a composition of basic HMMs to recognize complex gestures. Preliminary empirical results show that DEICTIC exhibits a similar recognition performance as “monolithic” HMMs used in state-of-the-art vision-based approaches, retaining at the same time the advantages of declarative approaches

    La maturità di Alessandro Fei del Barbiere, in bilico tra Maniera e Riforma

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    This article studies the mature career of the Florentine painter Alessandro Fei del Barbiere (1537-1592), beginning with the rediscovery of the 'Ascension' altarpiece formerly in the Albizi Chapel in the destroyed church of San Pier Maggiore, Florence. Studying this painting and others recorded in 1584 by the biographer Raffaello Borghini, such as the two altarpieces for Santa Maria delle Grazie and the Madonna dell'Umiltà in Pistoia, the author reconstructs a body of works showing how in the 1580s Fei gradually went beyond the archaic style of his apprenticeship - he had been trained by Ridolfo del Ghirlandaio and Pierfrancesco Foschi, but was also marked by the Maniera of Vasari - evolving towards naturalism in both mimesis and pictorial handling. In Florence, his development partly parallels that of Santi di Tito and his circle, but Fei was also influenced by a probable sojourn during the early part of that decade in Rome, where he could have been inspired by Girolamo Muziano and the painters working for Pope Gregory XIII. Among other proposals, the author suggests that the artist was responsible for decorating the chancel of Fiesole Cathedral (c. 1584-1589), which consisted of an altarpiece, only rarely discussed by scholars, and a cycle of frescoes hitherto attributed to Nicodemo Ferrucci

    Web5VR: a flexible framework for integrating Virtual Reality input and output devices on the web

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    The availability of consumer-level devices for both visualising and interacting with Virtual Reality (VR) environments opens the opportunity to introduce more immersive contents and experiences, even on the web. For reaching a wider audience, developing VR applications in a web environment requires a flexible adaptation to the different input and output devices that are currently available. This paper examines the required support and explores how to develop VR applications based on web technologies that can adapt to different VR devices. We summarize the main engineering challenges and we describe a flexible framework for integrating and exploiting various VR devices for both input and output. Using such framework, we describe how we re-implemented four manipulation techniques from the literature to enable them within the same application, providing details on how we adapted its parts for different input and output devices such as Kinect and Leap Motion. Finally, we briefly examine the usability of the final application using our framework

    DEICTIC: a compositional and declarative gesture description based on hidden markov models

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    The consumer-level devices that track the user's gestures eased the design and the implementation of interactive applications relying on body movements as input. Gesture recognition based on computer vision and machine-learning focus mainly on accuracy and robustness. The resulting classifiers label precisely gestures after their performance, but they do not provide intermediate information during the execution. Human-Computer Interaction research focused instead on providing an easy and effective guidance for performing and discovering interactive gestures. The compositional approaches developed for solving such problem provide information on both the whole gesture and on its sub-parts, but they exploit heuristic techniques that have a low recognition accuracy. In this paper, we introduce DEICTIC, a compositional and declarative description for stroke gestures, which uses basic Hidden Markov Models (HMMs) to recognise meaningful predefined primitives (gesture sub-parts) and it composes them to recognise complex gestures. It provides information for supporting gesture guidance and it reaches an accuracy comparable with state-of-the-art approaches, evaluated on two datasets from the literature. Through a developer evaluation, we show that the implementation of a guidance system with DEICTIC requires an effort comparable to compositional approaches, while the definition procedure and the perceived recognition accuracy is comparable to machine learning

    SnAIR drum: A gesture interface for rhythm practice

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    The availability of standard devices for gestural interaction supports the distribution on the web of interactive teaching material for learning music. In this paper, we focus on rhythm practice, introducing an exercise platform that exploits gestural interaction for tracking the user's movements and a web-based environment for loading exercises and checking his/her performance. We discuss the design and the technical implementation of the solution. Copyright is held by the authors/owner(s)

    Tra socialdemocrazie e Perestrojka. Le relazioni internazionali del Pci attraverso le carte di Alessandro Natta

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    This essay reconstructs the foreign policy of the Italian Communist Party during the four years of Alessandro Natta’s secretariat (1984-1988) through largely original archival documentation, from the Alessandro Natta Fonds of the Historical Archive of the Chamber of Deputies. Natta’s papers are also cross-referenced with those kept in the PCI Archive at the Gramsci Foundation. The author analyses the relationship that the PCI establishes with Gorbachev’s Perestroika, Deng’s China, and European social democracies during the last years of the Cold War
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