Mestrado em Engenharia Elétrica e da Computação (EMC)
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Item Modelagem dos movimentos funcionais robótico-assistidos para a reabilitação dos membros superiores: redução dos graus de liberdade de um manipulador antropomórfico(Universidade Federal de Goiás, 2010-04-19) ABADIA, Fernando Gonçalves; VIEIRA, Marcus Fraga; http://lattes.cnpq.br/4153462617460766Rehabilitation robotics involves the development of active devices for various processes in the health field. In the rehabilitation case, it replace the physical assistance by a robotic device, under the supervision of the therapist. According to some authors, there is much evidence that repetitive movements can help in the rehabilitation of stroke patients. Therefore, there is feasibility of building a low cost robotic manipulator of an anthropomorphic arm with few degrees of freedom in the rehabilitation of patients in early brain injury phase (muscle hypotony phase). The objective of the study outlined here is to determine, through simulation, the appropriate kinematic of an anthropomorphic robotic manipulator that best approximate the functional movements to be relearned by stroke patients. The kinemetry was the method used to measure the characteristics of these movements. The data acquisition was performed from three subjects who performed the movements of combing hair, drinking from cup, bring it to his mouth and waving, greeting movement. These data were compared with the direct and inverse kinematics of the simulated manipulator in MatLab environment. The results showed that, despite the limitations of movements, the simulated manipulator is feasible for rehabilitation of patients who are in the initial phase of stroke, with a low cost of implementation.Item Descoberta automatizada de associações com o uso de algoritmo Apriori como técnica de mineração de dados(Universidade Federal de Goiás, 2011-02-25) ALMEIDA, Derciley Cunha de; BRITO, Leonardo da Cunha; http://lattes.cnpq.br/6660680440182900Nowadays, the use of modern information systems allows the storage and management of increasingly large amounts of data. On the other hand, the full analysis and the maximum extraction of useful information from this universe of available data present considerable challenges in view of inherent human limitations. This dissertation deals with the subject of data mining, which is the use of technology resources in order to extract information from databases in an automated way. One of the possibilities offered by data mining technologies is the automated search for possible associations within data. Information about such associations can be useful for understanding cause and effect relationships between the involved variables in data analysis for decision making. There are several data mining techniques and many of them can be used for discovering associations. The main goal of this work is to study a particular method for automated search of associations called Apriori , evaluating its capabilities and outcomes. The study focuses on the problem of improving the Apriori algorithm results, taking into consideration that the results of the data mining process might be improved if the data are prepared specifically for Apriori application. The conclusions are drawn from a case study in which the Apriori algorithm was applied to a database with information on drug distribution at a health institute. The results of two experiments are considered in order to evaluate the influence of data preprocessing on the Apriori algorithm's performance. It was found that the Apriori algorithm yields satisfactory results on the discovery of association in data; however, for best results, it is advisable that the data be prepared in advance, specifically for the Apriori application, otherwise many associations in the database might be left undiscovered.Item Análise de desempenho de plataformas de educação a distância com arquitetura cliente-servidor utilizando teoria de filas(Universidade Federal de Goiás, 2010-08-19) ALVES, Leonardo Antonio; VIEIRA, Flávio Henrique Teles; http://lattes.cnpq.br/0920629723928382In this work, we present an analytical model to predict the performance of the client-server system regarding an E-Learning platform. This approach is based on the queuing theory and can adequately describe the performance of an E-Learning platform and its parameters, such as the server response time. It is used a Poisson model to describe the traffic processes in the EaD system, comparing the output of the model to an E-Learning platform working at the MSD Education company. In this study, it was developed a precise tool for designing E-Learning platforms based on client-server model according to the increasing access demand.Item Utilização de um sistema de realidade virtual não imersiva como ferramenta para a reabilitação de membros superiores de indivíduos hemiparéticos(Universidade Federal de Goiás, 2008-09-05) BARBOSA, Dagoberto Miranda; OLIVEIRA, Marco Antonio Assfalk de; http://lattes.cnpq.br/5601509957082902; SANTOS, Euler Bueno dos; http://lattes.cnpq.br/5005722083309404Item Uso de sistemas tutores inteligentes na compreensão de leitura(Universidade Federal de Goiás, 2009-11-28) BORGES, Fabrícia Neres; BRITO, Leonardo da Cunha; http://lattes.cnpq.br/6660680440182900Brazilian students have achieved poor results in the National Student Performance Exam (ENADE) in 2006. ENADE has shown reading is badly cultivated among undergraduates. The low interest on reading is justified by the fact that most of students have jobs and are enrolled in evening courses, without enough time to studies. The current research proposes the use of intelligent tutoring systems to improve student reading comprehension. The main goal is to develop the technique of underlining among undergraduates to assist in the analysis of academic texts. Two groups of students, A and B, participated in data collection. The difference between the groups is the amount of exercises performed in each group. Students of Group A have received 20 exercises with four levels of difficulty. In Group B, an Artificial Neural Network, Multilayer Perceptron (MLP), decides the amount of exercises that the student must perform at each level of difficulty by controlling what is the next exercise after each exercise is finished. The approach used in Group B adapts to the characteristics of knowledge retention of each student. Therefore, the tutoring system adapts the degree of exercise difficulty to the student. Statistical data analysis has indicated significant differences between groups A and B.Item Proposta e avaliação de um modelo computacional de gerador central de padrões(Universidade Federal de Goiás, 2011-06-02) BORGES, Marco Aurélio de Faria; VIEIRA, Marcus Fraga; http://lattes.cnpq.br/4153462617460766The concept of Central Pattern Generator-CPG can be described as neural network capable of producing coordinated rhythmic locomotor activity apart from any external rhythm or sensorial stimuli. As this group of neurons are autonomic and are located in the spinal medulla, is experimentally observed that brainless animal‟s exhibit robotized locomotor activity, for its march has no defined direction nor respond to any obstacles. Studies has shown that is possible to activate this specialized networks using specific drugs or electric stimuli depending only of the access area as brainstem, medulla or some brain areas. For this paper many models proposed in current literature were evaluated, in its majority conceptual models. Within this models the Rybak (2006) computational model was chosen to be reproduced and evaluated regarding its robustness. The model in question consist in a CPG based in experimental data collected in cats and it posses two level of neurons based in the half-center models in its structure, the Rhythmic Generator-RG and the Pattern Formation-PF. This groups control the activity of the motoneurons flexors and extensors in an articulation. For its implementation were necessary a simplification in the original model and new parameterization of the variables. The implemented model allows a locomotor activity simulation produced by the CPG when stimulating a Mesencephalic Locomotion Region. Two protocols of variation of conductance inn GR were applied intending to evaluate its strength. The results show that the CPG computer model created operates within physiological values in variations up to . This model presents an adaptation in the first and the current is the current that plays a major role in the occurrence of outbreaks. The conductance has a direct relationship with the period as a result of its increase, a decrease in frequency of the bursts occurs. The conductance of has an inverse relationship with the period and as a result of its increase, a decrease in the period and increased in the frequency of the bursts occurs. The conductance has a direct relation with the period of the bursts before the 100% and a reverse relation after 100% of the reference value. The default behavior extensor/ flexor dominant not only depend on the synaptic weight of RLM, but rather the result of all the conductance values that make up the neuron GR.Item Detecção Automática de Ondas de Elliott em Mercado Acionário(Universidade Federal de Goiás, 2008-08-06) CALAÇA, Raul Wonsjuk; MARQUES, Thyago Carvalho; http://lattes.cnpq.br/1763926064124591; MARTINS, Weber; http://lattes.cnpq.br/3123848470517021The Elliott Wave analysis is a technique developed for the prediction of prices of financial assets (stocks, exchange rates etc.). This work introduces the basic concepts of the financial market, focusing mainly on the Elliott Wave principle, which differs from other techniques for providing direction and intensity of changes in shares / stocks prices in the financial market. The Elliott Wave detection usually employs manual methods, since automated systems present high costs and are apparently based on trial and error method associated with Statistics. Manual methods assess, following some rules, the waves prospected by trial and error, and requires specialized training and experience. To automatically detect the waves of Elliott, this work suggests, develops and tests a computational system based on Genetic Algorithms, an Artificial Intelligence technique inspired on Biology. Genetic Algorithms are used to evolve answers to problems by assessing candidates, which are coded as chromosomes. Tests of the system were performed based on BM&FBOVESPA stocks with high daily liquidity. Simulations have indicated that the detected waves are satisfactory, with error rate below 3% in each inflection point.Item Aplicação do mapeamento conforme no cálculo do fator de Carter(Universidade Federal de Goiás, 2008-06-06) CALIXTO, Wesley Pacheco; BRITO, Leonardo da Cunha; http://lattes.cnpq.br/6660680440182900; ALVARENGA, Bernardo Pinheiro de; http://lattes.cnpq.br/9850449311607643The present work proposes a numeric formulation for the determination of Carter's factor as a function of the geometry of the slot of electric machines. This task is made by the use of the Schwarz-Christoffel transformation. In order to reach the objective, there is the need to calculate the Schwarz-Christoffel inverse transformation. This represents a non-linear optimization problem. Therefore, it is proposed a methodology to calculate the parameters of the Schwarz-Christoffel inverse transformation using genetic algorithms. The assessment of Carter s factor is achieved considering polygonal domains with many vertices. The transformation leads to a rectangular domain approach. Moreover, some case studies are proposed and the methodology results are compared to traditional formulation results for the Carter s factor, yielding some disparities.Item Desenvolvimento de ferramenta de comparação de técnicas de processamento de sinais para determinar fadiga muscular por meio do sinal emg(Universidade Federal de Goiás, 2012-07-09) CAMPOS, Ramon de Freitas Elias; VIEIRA, Marcus Fraga; http://lattes.cnpq.br/4153462617460766This study aimed to development of a computational tool for electromyographic signal (EMG) analysis by signal processing techniques to determine muscular fatigue. With Ethics Committee of Federal University of Goiás approve were recorded from the dominant biceps brachii of 10 volunteers, that did not ever had muscular disease. The protocol consisted on get the maximal voluntary isometric contraction (MVIC) from the volunteer seated, floor contact with the feet, and forearm in 90 degree, doing three maximal voluntary contraction against a rigid and fixed surface, by five seconds, with a five resting minutes between each acquisition. The MVIC values were obtained by arithmetical mean from the three greater values of each contraction. In statistical analysis the volunteer sustained a load of 60% MVIC for 30 seconds, or while they supported. For dynamical analysis was used a electrogoniometer tied in forearm to measure the angle and a 60% MVIC load for 30 seconds measured, achieved angle of 70° until 130°, and return to 70°. Each flexion was did in 1,5 seconds, or while volunteer support. To analyze the signal in time domain were used Root main square (RMS) values and Continuous wavelet transform (CWT). To analyze in frequency domain were adopted the values of mean and median from Fast Fourier Transform (FFT), Welch spectral estimator, auto regressive moving average (ARMA) filter, and analytic wavelet transform (AWT). Linear regressions were obtained using a window of 250 ms for all techniques. Slopes with positive values, in time domain, and slopes with negative values, in frequency domain, indicate muscular fatigue. Using high scales of wavelet transform shows great results while compared with default techniques, like RMS and FFT. ANOVA one way were adopted as statistical method of analysis, with P < 0,05. Only in dynamic contraction, on frequency domain, had P value < 0,05. Tukey test were applied to identify which techniques had variance great than 5%. Is suggested as future works development of a wireless system to acquire EMG signals, improvement in the software to motor unit action potentials (MUAP) detection, prosthesis control, and synchronization with others systems of data collection.Item Programação Genética Aplicada à Programação de Controladores Lógico Programáveis(Universidade Federal de Goiás, 2009-05-29) CARNEIRO, Marcos Lajovic; BRITO, Leonardo da Cunha; http://lattes.cnpq.br/6660680440182900This research proposes the application of an artificial intelligence technique called genetic programming (GP) to make easier the programming of programmable logical devices (PLC) by the automatic generation of Ladder and Instruction List programs. The system data input can be done by not-specialized people using scenarios composed by time lines. These time lines demonstrate graphically the sequencing details of the PLC input and output permitting the programming of systems that uses memory like inter-locking contacts and the use of timers. Since GP is great dependent of its initial simulation parameters, thousand of simulations have been done to determine the better kind of configuration of cross-over and mutationItem Reguladores de tensão e geração distribuída em uma implementação de fluxo de potência a três e a quatro fios(Universidade Federal de Goiás, 2012-04-20) CARVALHO, Rodrigo Mendonça de; LONGO, Humberto José; http://lattes.cnpq.br/0188685041571480; ALVES, Antônio César Baleeiro; http://lattes.cnpq.br/1188328474646154As a distribution network grows, the need for voltage control and regulator devices increases, as well as the need for supplying the demands, which assists in monitoring and correction of their magnitudes. Thus, the use of voltage regulators and, more recently, distributed generation applications contribute to the improvement of the process of electric power distribution in order not only to supply the demands, but the quality of the energy supplied. This dissertation presents three three-phase step-voltage regulator models, each of Type B, and two distributed generation models, all of them implemented in a power flow application prepared according to the Backward/Forward Sweep algorithm. The three-phase voltage regulator models differ in their connection, that is, grounded-wye, closed-delta and open-delta, while models of distributed generation are identified by technology and size, being classified into PQ and PV nodes. Results are obtained from three distribution networks for different cases of use of voltage regulators and distributed generation. IEEE 13 and 34 bus systems were used for testing the evaluation algorithm and a 103 bus network, derived form one of the CELG distribution systems, were used as a real case example for the application of the implemented models of voltage regulators and distributed generation. The results were discussed and reviewed so that it is possible to identify the most efficient templates for each case or for the majority of the cases.Item Aplicação da Tecnology Readiness Index para definição de escopo em projetos de automação(Universidade Federal de Goiás, 2009-06-27) CASTRO, Marcia Inocencio de; GUEDES, Leonardo Guerra Rezende; http://lattes.cnpq.br/9989795822168281The study of behavior adoption products and services - based technology by the consumer is as a great helper choices for design projects and in targeting market, represented a challenge for new products and technological services therefore means intensive growth of these products, various studies indicate also the frustration of consumers interact with technology acquired. Such evidence are particularly important as consumer beliefs are positively related to your acceptance or resistance in adopt products and technological services. In this context, the readiness to technology emerges as construct fundamental to understanding attitudes on consumer technology. This work is the general objective to propose a method to help engineers electricians in the design project automation home (AR) based on user profile technology from the analysis of personal characteristics, rather evaluating the propensity of individuals with adopt products and technological services air from drivers and inhibitors mental related optimism, inovatividade, discomfort and insecurity. We use as method technology readiness index (TRIx). With this, this work is useful in engineering project air, leading to a design of a project as close as possible claim preference and characteristic of the user / customer is aimed at greater satisfaction and quality products and solutions offered by ARItem Controle Fuzzy e acionamento a velocidade variável de sistema resfriador de leite(Universidade Federal de Goiás, 2010-06-17) CHAVES, Eric Nery; ALVARENGA, Bernardo Pinheiro de; http://lattes.cnpq.br/9850449311607643This work presents the application of control techniques to drive single-phase induction motors with the aim of improving the performance of cooling systems. The control system is based on Fuzzy Logic and is applied to a three-phase PWM inverter adapted to drive singlephase motors with volts per hertz technique. The main feature of the work is to control the temperature of the cooling system driven by a hermetic compressor using variable speed. A commercial milk cooling system is used to obtain the results.Item Reconhecimento Automático de Aves da Família Tinamidae Através da Vocalização(Universidade Federal de Goiás, 2012-04-11) CONCEIÇÃO, Paulo Francisco da; MACHADO, Paulo César Miranda; http://lattes.cnpq.br/8831309316416795This work presents a comprehensive approach to develop a system for recognizing birds by vocalization. The approach specifically addresses the recognition of birds of the Tinamidae family proposing the analysis of data related to the frequency and song of the bird and also classifying and determining the species of bird. The study differs from related research primarily for performing the pre-processing stage automatically. This stage determines the following characteristics: the minimum, the maximum and the stronger frequencies. It s still made a segmentation of the bird singing in periods of sound and silence. The time of singing is also used as a characteristic peculiar to each species analyzed. For the automatic determination of the characteristics of the frequency and song of the bird, an analysis of the power spectral density was made for each time period specified in the frequency using the spectrogram of the song. The recognition and classification technique adopted was the nearest neighbor, using Euclidean distance normalized by the standard deviation. The accuracy of the technique used was 94.12%.Item Estudo empírico de avaliação inteligente computadorizada de questões abertas baseado em colaboração(Universidade Federal de Goiás, 2009-09-12) CORRÊA, Kleber Pullig; MACHADO, Paulo César Miranda; http://lattes.cnpq.br/8831309316416795This research submits to experimental tests in real-world environment, the Conexionist Collaborative Intelligent Evaluation System idealized by Martins (2004) and tested with simulations by Guimarães (2004), who have noticed consistent and promising results when dealing with synthetic datas. The system explores the Learning Theory by Kolb (1984), Peer Collaboration Evaluation and Artificial Intelligence (multilayer perceptrons neural networks), which are capable to apply and correct tests with open (free) questions. To get a real-world data, some students from the course of Engineer registered at Universidade Federal de Goiás (UFG) on the period of june 2008 to july 2009 were taken in heterogeneous groups composed by men and women in age from 16 to 26 years old and at least 18 students per test. The software SAICOweb, developed specifically to this data collection, allows the computerized evaluations of open (free) questions, by using methods and stages described at Guimarães (2004) research. SAICOweb system were experimental validited in a satisfactory way by an unique group composed by 38 students (by using two tests with 08 open questions each). The analisys of the results with Pearson correlation shows strong association (0,81) between grades given by SAICOweb and the human grades (corrected by professors). Another important result is the satisfaction of professor and students when evaluating Software SAICOweb, evaluation method, pedagogical experience and anonymity. Specific itens were identified and suggested as future updates, when more experimental tests should be designed to validade other aspects of the System.Item Programação Genética Aplicada no Processo de Descoberta de Conhecimento em Bases de Dados de Redes de Pesquisa.(Universidade Federal de Goiás, 2010-12-20) DUARTE, Kedma Batista; BRITO, Leonardo da Cunha; http://lattes.cnpq.br/6660680440182900The Genetic Programming (GP) is a heuristic algorithm for Data Mining (DM), which can be applied to the classification task. This is a method of evolutionary computing inspired in the mechanisms of natural selection theory of Charles Darwin, declared in 1859 in his book "The Origin of Species." From an initial population, the method search over a number of generations to find solutions adapted to the environment of problem. The PG method was proposed in 1990 by John Koza, who demonstrated in one of its applications, the induction in formation of decision trees in the process of data classification. Within this context, the study developed in this work has as main objective the investigation of the concepts of PG and its application on a database of scientific collaboration networks, helping as a management tool in prospective studies of trends for the establishment of common axes in public policy of Science, Technology and Innovation (STI), focusing on regional development. The method is applied on a set of attributes, sorting them in order to identify similarity relationships between groups of researchers that comprise the network. The study involves the concepts of Knowledge Discovery in Databases (KDD) and Data Mining (DM). Networks of Scientific Collaboration, or Networks Research, are inserted in the context of small groups of social networks, the environment is dynamic due to the easy of information exchange and links between individuals, favoring the formation of new groups, which makes the growth of the network unlimited. "The combination of these groups, generated by the relationships between them, appears as a case of multi-criteria decision, granting the application of some complexity. In this sense, it is intended to apply the method of PG for generation of classification rules that lead to the discovery of groups of researchers with similar traits, which in a planned process could be induced to form groups strengthened and consolidated. The study helps to exploit the potential of genetic programming as a classifier algorithm, as well as use it as a method to build tools to support planning and decision making in STI.Item Previsão de Vazões Naturais Diárias Afluentes ao Reservatório da UHE Tucuruí Utilizando a Técnica de Redes Neurais Artificiais(Universidade Federal de Goiás, 2012-09-05) FERREIRA, Carlos da Costa; CRUZ JÚNIOR, Gélson da; http://lattes.cnpq.br/4370555454162131The forecast of natural flows to hydroelectric plant reservoirs is an essential input to the planning and programming of the SIN´s operation. Various computer models are used to determine these forecasts, including physical models, statistical models and the ones developed with the RNA´s techniques. Currently, the ONS performs daily forecasts of natural flows to the UHE Tucuruí based on the univariate stochastic model named PREVIVAZH, developed by Electric Energy Research Center - Eletrobras CEPEL. Throughout the last decade, several papers have shown evolution in the application of neural networks methodology in many areas, specially in the prediction of flows on a daily, weekly and monthly basis. The goal of this dissertation is to present and calibrate a model of natural flow forecast using the RNA´s methodology, more specifically the NSRBN (Non-Linear Sigmoidal Regression Blocks Networks) (VALENCA; LUDERMIR, 2001), on a time lapse from 1 to 12 days forward to the Tucuruí Hydroelectric Plant, considering the hydrometric stations data located upstream from it s reservoir. In addition, a comparative analysis of results found throughout the calibrated neural network and the ones released by ONS is performed. The results show the advantage of the methodology of artificial neural networks on autoregressive models. The Mean Absolute Percentage Error - MAPE values obtained were, on average, 48 % lower than those released by the ONS.Item Estudos de viabilidade das redes de distribuição secundárias compactas no sistema elétrico da CELG D(Universidade Federal de Goiás, 2010-02-26) GOMES, Hélio Júnio; SANTOS, Euler Bueno dos; http://lattes.cnpq.br/5005722083309404; RIBEIRO, Cacilda de Jesus; http://lattes.cnpq.br/8998911644222586Secondary networks are essential for the process of distributing electrical energy to the final consumer, and their performance is related to their design, the quality of materials and equipment employed, environmental conditions, damage caused by third parties, and maintenance services. In this context, the objective of the present work is to carry out feasibility studies of the compact secondary networks in the distribution system of CELG D, an electric power distribution concessionaire and a crucial element of the electrical system of the state of Goiás, Brazil. The development of this research took into consideration the initial investment, the operational cost and the performance of these networks. It can therefore be concluded that, although the cost of implementation of the compact network is approximately 14% higher than the conventional cost, its installation is extremely viable because, in addition to reducing the preventive maintenance services required for this network, there is an improvement in the continuity of electrical power supply, two factors that are fundamental in an increasingly competitive market.Item Controle Inteligente de Tempo Livre em Tutoria Multissessão(Universidade Federal de Goiás, 2009-08-22) GOMES, Viviane Margarida; NALINI, Lauro Eugênio Guimarães; http://lattes.cnpq.br/7555089672749145; MARTINS, Weber; http://lattes.cnpq.br/3123848470517021Intelligent Tutoring Systems are softwares to provide customized instruction by using techniques of Computational Intelligence. This research proposes the intelligent control of free time (break interval) in multi-session tutoring. The teaching strategy employs tutoring modules with the following steps: 1) video class, 2) exercise, 3) practical suggestion, 4) free time, and 5) revision exercise. As part of the learning environment, free time (step 4) can contribute to increase the knowledge retention. Based on the student performance in exercises, the proposed system uses Reinforcement Learning to control free time durations. The intelligent agent decides according to the policy that has been indicated by the Softmax method. Among the relevant points of this algorithm, it can be highlighted the optimistic initial values, the incremental implementation and the temperature adjustment (Gibbs distribution parameter) to the selection of action. Two student groups have participated of data collection. The experimental group (with intelligent control) has been compared to the control group (where decisions belong to the student). In the groups, the intelligent agent or the student determines the action that will be followed or, in more detail, if free time will be shorter, longer or maintained. In comparison, statistical data analysis have shown significant and equivalent gains in knowledge retention. However, students from experimental group have realized more accurately the role of free time as a component of the teaching strategyItem Ambiente virtual para reabilitação de membros superiores utilizando visão computacional(Universidade Federal de Goiás, 2012-05-02) GOMIDE, Renato de Sousa; VIEIRA, Marcus Fraga; http://lattes.cnpq.br/4153462617460766The use of computing devices used in virtual reality has been exploited to provide solutions in healthcare, specifically in functional rehabilitation. There are studies that indicate that immersion caused by the use of virtual environments in rehabilitation presents positive results on the evolution of a patient in therapy. From this information, there was motivation for this study, which aims at developing a low cost solution consisting in a virtual environment for upper limbs rehabilitation. This work describes the internal elements of the computing device and also the development of the virtual environment. The user interacts with the virtual environment through computer vision techniques, having a webcam as a data input device. Acquired images by the webcam are processed so that an object of interest may be in evidence by algorithms of image segmentation. There were analyzed five techniques of image segmentation in RGB and HSV color spaces. By the results obtained in the development environment, it wasn't possible to classify the best method of segmentation, and the performance of the methods varies according to the color of the object of interest and lighting of the external environment. The virtual environment was modeled after technical visits made in rehabilitation center supported by physiotherapists and occupational therapists. The virtual environment was tested only in research environment. Therefore it is necessary to employ the system in rehabilitation clinic in partnership with health professionals so that there is a validation of the virtual environment developed in this project in the area of rehabilitation.
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