33 resultados para Gesture based audio user interface
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This paper presents the development of an application created to assist the teaching of dental structures, generate rich content information and different manners of interaction. An ontology was created to provide semantics informations for virtual models. We also used two devices gesture-based interaction: Kinect and Wii Remote. It was developed a system which use intuitive interaction, and it is able to generate three dimensional images, making the experience of teaching / learning motivating. The projection environment used by the system was called Mini CAVE. © 2012 IEEE.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Educação Escolar - FCLAR
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This article reports on the diversity and the linguistic variations in e-mails and chat interactions in teletandem interactions. Based on the interface of foreign language acquisition and sociolinguistics, its focus is on linguistic variants under the perspective of the social variations of language, especially regarding standard and non-standard norms of the Portuguese language in a teletandem context. Sociolinguistics offers us resources for the analysis and understanding that we intend to provide about teletandem interactions. We also mention the Teletandem Brasil project, its ideas and theoretical orientations, and also analyze data collected. The findings show that the variations in foreign students´ written production, who are also Portuguese learners, come from fluctuations between the standard and non-standard norms because students still do not have complete communicative competence in the target language.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Humanization at dental care is highly important due to uneven relation between scientific / technical advances in dentistry and thequality of human contact. The dental treatment goes beyond the field of scientific knowledge. Therefore, the dental treatment requiresbalance among technical skill, scientific training, and humanist vision of health promotion. Contemporarily, humanization is understoodas tripod based on user's rights, dental practice and organization of a humanized model. Curriculum integration of ethical, humanistic,scientific and technical contents is an important and current challenge on teaching / learning process for professionals at Dentistry. Thispaper aims to, guided by the literature review, to present some considerations on human care in dentistry, with emphasis on theimportance of professional /patient relationship for promoting oral health. It is suggested that dentists reflect on the urgent need ontheoretical basis of humanization and patient-professional relationship for health care.Descriptors: Humanization of Assistance; Dental Staff
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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This paper describes the implementation of a multi-interface module (I2M) for automation of industrial processes, based on the IEEE1451 standard. Process automation with I2M can communicate through either wires or using wireless communication, without any hardware or software changes. We used FPGA resources to implement the I2M functions FPGA, with a NIOS II processor and ZigBee communication system (IEEE802.15), as well as RS232 serial standard. Part of the project was done in the SOPC Builder environment, which gave the designer flexibility and speed to implement the NIOS II-based microprocessor system. To test the I2M implementation, a didactic Industrial Hydraulic Module (MHI-01) was used to simulate two industrial processes to be controlled by the system proposed.
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The increase of computing power of the microcomputers has stimulated the building of direct manipulation interfaces that allow graphical representation of Linear Programming (LP) models. This work discusses the components of such a graphical interface as the basis for a system to assist users in the process of formulating LP problems. In essence, this work proposes a methodology which considers the modelling task as divided into three stages which are specification of the Data Model, the Conceptual Model and the LP Model. The necessity for using Artificial Intelligence techniques in the problem conceptualisation and to help the model formulation task is illustrated.
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In this paper it is proposed a novel hybrid three-phase rectifier capable to achieve high input power factor (PF), and low total harmonic distortion in the input currents (THDI). The proposed hybrid high power rectifier is composed by a standard three-phase 6-pulses diode rectifier (Graetz bridge) with a parallel connection of single-phase Boost rectifiers in each three-phase rectifier leg. Such topology results in a structure capable of programming the input current waveform and providing conditions for obtaining high input power factor and low harmonic current distortion. In order to validate the proposed hybrid rectifier, this paper describes its principles of operation, with detailed experimental results and discussions on power rating of the required Boost converters as related to the desired total harmonic current distortion. It is demonstrated that only a fraction of the output power is processed through the Boost converters, making the proposed solution economically viable for very high power installations, with fast pay back of the investment. Moreover, retrofitting to existing installations is also feasible since the parallel path can be easily controlled by integration with the existing de-link. A prototype rated at 6 kW has been implemented in laboratory and fully demonstrated its operation, performance and feasibility to high power applications. © 2005 IEEE.
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In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, there is a need for faster and more precise pattern recognition algorithms in order to perform online and offline training and classification procedures. We deal here with the problem of moist area classification in radar image in a fast manner. Experimental results using Optimum-Path Forest and its training set pruning algorithm also provided and discussed. © 2011 IEEE.
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Voice-based user interfaces have been actively pursued aiming to help individuals with motor impairments, providing natural interfaces to communicate with machines. In this work, we have introduced a recent machine learning technique named Optimum-Path Forest (OPF) for voice-based robot interface, which has been demonstrated to be similar to the state-of-the-art pattern recognition techniques, but much faster. Experiments were conducted against Support Vector Machines, Neural Networks and a Bayesian classifier to show the OPF robustness. The proposed architecture provides high accuracy rates allied with low computational times. © 2012 IEEE.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência da Informação - FFC