Yu Tzu Wu

Formação complementar

Idiomas

Áreas de atuação

Participação em eventos

Participação em bancas

Produções bibliográficas

• WU, YU TZU ; FUJIWARA, ERIC . Keyboard-type optical fiber musical interface. OPTICAL ENGINEERING , v. 63, p. 016101, 2024.

• VIT, FRANCIELE FLORES ; WU, YU TZU ; FUJIWARA, ERIC ; CARVALHO, HERNANDES F. ; LA TORRE, LUCIMARA GAZIOLA DE . Microfluidic chip for synergic drugs assay in 3D breast cancer cell. Microfluidics and Nanofluidics , v. 28, p. 26, 2024.

• WU, YU TZU ; FUJIWARA, ERIC ; SUZUKI, CARLOS KENICHI . Image-Based Radical Identification in Chinese Characters. Applied Sciences-Basel , v. 13, p. 2163, 2023.

• FUJIWARA, ERIC ; WU, YU TZU ; SUZUKI, CARLOS K. . Oscillating optical fiber speckle patterns: modeling and application. Optics Continuum , v. 1, p. 2490, 2022.

• FUJIWARA, ERIC ; RODRIGUES, MATHEUS S. ; GOMES, MATHEUS K. ; WU, YU TZU ; SUZUKI, CARLOS K. . Identification of hand gestures using the inertial measurement unit of a smartphone: a proof-of-concept study. IEEE Sensors Journal , v. 21, p. 13916-13923, 2021.

• VIT, FRANCIELE FLORES ; NUNES, RONY ; WU, YU TZU ; PRADO SOARES, MARCO CÉSAR ; GODOI, NAIARA ; FUJIWARA, ERIC ; CARVALHO, HERNANDES F. ; GAZIOLA DE LA TORRE, LUCIMARA . A modular, reversible sealing, and reusable microfluidic device for drug screening. ANALYTICA CHIMICA ACTA , v. 1185, p. 339068, 2021.

• FUJIWARA, ERIC ; TZU WU, YU ; CORDEIRO, CRISTIANO M.B. . Entropy analysis of optical fiber specklegram sensors. Results in Optics , v. 5, p. 100155, 2021.

• WU, YU TZU ; GOMES, MATHEUS K ; DA SILVA, WILLIAN HA ; LAZARI, PEDRO M ; FUJIWARA, ERIC . Integrated Optical Fiber Force Myography Sensor as Pervasive Predictor of Hand Postures. Biomedical Engineering and Computational Biology , v. 11, p. 117959722091282, 2020.

• WU, YU TZU ; FUJIWARA, ERIC ; SUZUKI, CARLOS K. . Evaluation of Optical Myography Sensor as Predictor of Hand Postures. IEEE SENSORS JOURNAL , v. 19, p. 5299-5306, 2019.

• FUJIWARA, ERIC ; DA SILVA, LUIZ EVARISTO ; CABRAL, THIAGO DESTRI ; DE FREITAS, HUGO EUGENIO ; WU, YU TZU ; CORDEIRO, CRISTIANO M. B. . Optical Fiber Specklegram Chemical Sensor Based on a Concatenated Multimode Fiber Structure. JOURNAL OF LIGHTWAVE TECHNOLOGY , v. 37, p. 5041-5047, 2019.

• FUJIWARA, ERIC ; RI, YOSHI ; WU, YU TZU ; FUJIMOTO, HIROSHI ; SUZUKI, CARLOS KENICHI . Evaluation of image matching techniques for optical fiber specklegram sensor analysis. APPLIED OPTICS , v. 57, p. 9845, 2018.

• FUJIWARA, ERIC ; WU, YU TZU ; DOS SANTOS, MURILO FERREIRA MARQUES ; SCHENKEL, EGONT ALEXANDRE ; SUZUKI, CARLOS KENICHI . Development of a tactile sensor based on optical fiber specklegram analysis and sensor data fusion technique. SENSORS AND ACTUATORS A-PHYSICAL , v. 263, p. 677-686, 2017.

• FUJIWARA, ERIC ; WU, YU TZU ; SANTOS, MURILO ; SCHENKEL, EGONT ; SUZUKI, CARLOS . Optical Fiber Specklegram Sensor for Measurement of Force Myography Signals. IEEE SENSORS JOURNAL , v. 17, p. 951-958, 2016.

• FUJIWARA, ERIC ; WU, YU TZU ; MIYATAKE, DANILO Y. ; SANTOS, MURILO F. M. ; SUZUKI, CARLOS K. . Evaluation of Thumb-Operated Directional Pad Functionalities on a Glove-Based Optical Fiber Sensor. IEEE Transactions on Instrumentation and Measurement , v. 62, p. 2330-2337, 2013.

• FUJIWARA, ERIC ; WU, YU TZU ; SUZUKI, CARLOS KENICHI . Vibration-based specklegram fiber sensor for measurement of properties of liquids. Optics and Lasers in Engineering , v. 50, p. 1726-1730, 2012.

• FUJIWARA, E. ; WU, Y. T. . Enhancing Softness Sensation in Optical Fiber Tactile Sensors. In: IEEE 17th Pacific Visualization Conference, 2024, Tokyo. PacificVis 2024 Posters, 2024.

• WU, Y. T. ; FUJIWARA, E. . Form of Music: Visualizing Musical Phrasing with Calligraphy. In: IEEE 2017 Pacific Visualization Conference, 2024, Tokyo. PacificVis 2024 Posters, 2024.

• WU, YU TZU ; FUJIWARA, ERIC . Optical Fiber Speckle-Based Musical Interface. In: 2023 International Conference on Optical MEMS and Nanophotonics (OMN) and SBFoton International Optics and Photonics Conference (SBFoton IOPC), 2023, Campinas. 2023 International Conference on Optical MEMS and Nanophotonics (OMN) and SBFoton International Optics and Photonics Conference (SBFoton IOPC), 2023. p. 1.

• WU, YU TZU ; FUJIWARA, ERIC ; SUZUKI, CARLOS K. . Identification of the Radical Component from Images of Chinese Characters. In: 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2022, Natal. 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2022. p. 55.

• FUJIWARA, ERIC ; GOMES, MATHEUS K. ; WU, YU TZU ; SUZUKI, CARLOS K. . Identification of Dynamic Hand Gestures with Force Myography. In: 2021 International Symposium on MicroNanoMehatronics and Human Science (MHS), 2021, Nagoya. 2021 International Symposium on Micro-NanoMehatronics and Human Science (MHS), 2021. p. 1.

• WU, YU TZU ; FUJIWARA, ERIC ; SUZUKI, CARLOS K. . AR Flashcards for Asian Language Learning. In: 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), 2020, Kyoto. 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), 2020. p. 409-410.

• FUJIWARA, ERIC ; WU, YU TZU ; SUZUKI, CARLOS K. . Assessment of Hand Posture and Grip Force by Optical Fiber Force Myography Sensor. In: 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), 2020, Kyoto. 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), 2020. p. 15-16.

• FUJIWARA, ERIC ; WU, YU TZU ; SILVA, LUIZ E. ; FREITAS, HUGO E. ; ARISTILDE, STENIO ; CORDEIRO, CRISTIANO M. B. . Optical Fiber 3D Shape Sensor for Motion Capture. In: 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019, Osaka. 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019. p. 933.

• FUJIWARA, ERIC ; WU, YU TZU ; GOMES, MATHEUS K. ; SILVA, WILLIAN H. A. ; SUZUKI, CARLOS K. . Haptic Interface Based on Optical Fiber Force Myography Sensor. In: 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019, Osaka. 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019. p. 931.

• WU, YU TZU ; FUJIWARA, ERIC ; SUZUKI, CARLOS KENICHI . Optical myography sensor for gesture recognition. In: 2018 15th International Workshop on Advanced Motion Control (AMC), 2018, Tokyo. 2018 IEEE 15th International Workshop on Advanced Motion Control (AMC), 2018. p. 348.

• FUJIWARA, ERIC ; WU, YU TZU ; SUZUKI, CARLOS KENICHI ; DE ANDRADE, DANDARA THAMILYS GUEDES ; NETO, ANTONIO RIBAS ; ROHMER, ERIC . Optical fiber force myography sensor for applications in prosthetic hand control. In: 2018 15th International Workshop on Advanced Motion Control (AMC), 2018, Tokyo. 2018 IEEE 15th International Workshop on Advanced Motion Control (AMC), 2018. p. 342.

• FUJIWARA, ERIC ; DA SILVA, LUIZ E. ; DE FREITAS, HUGO E. ; WU, YU TZU ; CORDEIRO, CRISTIANO M. B. . Optical Fiber Chemical Sensor Based on the Analysis of Fiber Specklegrams Characteristics. In: 2018 SBFoton International Optics and Photonics Conference (SBFoton IOPC), 2018, Campinas. 2018 SBFoton International Optics and Photonics Conference (SBFoton IOPC), 2018. p. 1.

• FUJWARA, ERIC ; WU, YU TZU ; VILLELA, CAIO S. ; GOMES, MATHEUS K. ; SOARES, MARCO C. P. ; SUZUKI, CARLOS K. ; RIBAS NETO, ANTONIO ; ROHMER, ERIC . Design and Application of Optical Fiber Sensors for Force Myography. In: 2018 SBFoton International Optics and Photonics Conference (SBFoton IOPC), 2018, Campinas. 2018 SBFoton International Optics and Photonics Conference (SBFoton IOPC), 2018. p. 1.

• FUJIWARA, ERIC ; PAULA, FRANCINE D. ; WU, YU TZU ; SANTOS, MURILO F. M. ; SCHENKEL, EGONT A. ; SUZUKI, CARLOS K. . Optical fiber tactile sensor based on fiber specklegram analysis. In: 25th International Conference on Optical Fiber Sensors, 2017, Jeju. org.crossref.xschema._1.Title@581a729d, 2017. p. 103232N.

• WU, YU TZU ; FUJIWARA, ERIC ; SUZUKI, CARLOS K. . Optical myography system for posture monitoring. In: 2016 IEEE International Symposium on Consumer Electronics (ISCE), 2016, Sao Paulo. 2016 IEEE International Symposium on Consumer Electronics (ISCE), 2016. p. 37.

• FUJIWARA, ERIC ; PAULA, FRANCINE D. ; WU, YU TZU ; SANTOS, MURILO F. M. ; SUZUKI, CARLOS K. . Optical fiber tactile sensor for user interfaces. In: 2016 IEEE International Symposium on Consumer Electronics (ISCE), 2016, Sao Paulo. 2016 IEEE International Symposium on Consumer Electronics (ISCE), 2016. p. 11.

• FUJIWARA, ERIC ; WU, YU TZU ; SANTOS, MURILO F. M. ; SCHENKEL, EGONT A. ; SUZUKI, CARLOS K. . Identification of hand postures by force myography using an optical fiber specklegram sensor. In: International Conference on Optical Fibre Sensors (OFS24), 2015, Curitiba. v. 9634. p. 96343Z.

• FUJIWARA, ERIC ; WU, YU TZU ; SANTOS, MURILO F. M. ; SCHENKEL, EGONT A. ; SUZUKI, CARLOS K. . Development of an optical fiber FMG sensor for the assessment of hand movements and forces. In: 2015 IEEE International Conference on Mechatronics (ICM), 2015, Nagoya. 2015 IEEE International Conference on Mechatronics (ICM), 2015. p. 176.

• WU, Y. T. ; FUJIWARA, E. ; SUZUKI, C. K. . Glove-based optical fiber sensor system for application in robotics. In: 5th Workshop in Applied Robotics and Automation, 2012, Bauru. Robocontrol 2012 - Papers, 2012.

• FUJIWARA, ERIC ; WU, YU TZU ; SANTOS, MURILO F. M. ; SUZUKI, CARLOS K. ; LIAO, YANBIAO ; JIN, WEI ; SAMPSON, DAVID D. ; YAMAUCHI, RYOZO ; CHUNG, YOUNGJOO ; NAKAMURA, KENTARO ; RAO, YUNJIANG . Development of an optical fiber transducer applied to the measurement of finger movements. In: OFS2012 22nd International Conference on Optical Fiber Sensor, 2012, Beijing. p. 84212H.

• WU, Y. T. ; FUJIWARA, E. ; SUZUKI, C. K. . Development of an optical fiber sensor for the measurement of angular displacements in anthropomorphic systems. In: IX Brazil-Japan International Workshop: Society, Energy and Environment, 2011, Campinas. Technical Articles, 2011.

• FERREIRA, G. V. E. ; FRACAROLLI, J. A. ; PAVARIN, F. F. A. ; WU, Y. T. ; VALLAR, F. S. M. . Avaliação de amadurecimento de tomates com a utilização do biospeckle e sensor kinect. In: Congresso de Iniciação Científica Unicamp, 2019, Campinas. Revista dos Trabalhos de Iniciação Científica da UNICAMP. Campinas: Unicamp, 2018. v. 26.

• WU, Y. T. ; MORONI, A. M. F. S. ; RAMOS, J. J. G. . Aplicações do Kinect em interação humano robô. In: XVII Jornada de Iniciação Científica do CTI - JICC'15 - PIBIC/CNPq/CTI, 2015, Campinas. Anais da XVII Jornada de Iniciação Científica do CTI - JICC'15 - PIBIC/CNPq/CTI. Campinas: CTI Renato Archer, 2015. v. 1. p. 1-8.

• WU, Y. T. ; PEDRINI, H. . Detecção de pele em imagens. In: XXII Congresso Interno de Iniciação Científica da Unicamp, 2014, Campinas. Caderno de resumos do XXII Congresso Interno de Iniciação Científica da Unicamp. Campinas: Unicamp, 2014. p. 525-525.

• WU, Y. T. ; PEDRINI, H. . Descritores de textura em múltiplas escalas. In: XXI Congresso Interno de Iniciação Científica da Unicamp, 2013, Campinas. Caderno de resumos do XXI Congresso Interno de Iniciação Científica da Unicamp. Campinas: Unicamp, 2013. p. 436-436.

• WU, Y. T. ; FUJIWARA, E. ; SUZUKI, C. K. . Desenvolvimento de sensor a fibra óptica por microcurvaturas aplicado a manipuladores mecatrônicos antropomórficos. In: XX Congresso Interno de Iniciação Científica da Unicamp, 2012, Campinas. Caderno de resumos do XX Congresso Interno de Iniciação Científica da Unicamp. Campinas: Unicamp, 2012. p. 427-428.

Projetos de pesquisa

• 2023 - Atual

  Development of agar-based biodegradable optical fibers for sensing, Descrição: Biocompatible and bioresorbable photonic devices are crucial for in vivo applications regarding medicine, optogenetics, and environmental surveillance. Apart from widespread biopolymers and hydrogels, agar features as a versatile, edible, transparent, thermoreversible, renewable, and low-cost material. However, despite its usage in culture media and tissue engineering, few works explored the agar capabilities to manufacture photonic devices. Therefore, this proposal aims to develop novel agar-based optical fibers for sensing. Firstly, we will fabricate structured multimode fibers with different chemical compositions and molded into several geometries to tailor their optical and mechanical properties. Subsequently, fiber specklegram sensors comprising image processing and machine learning-based interrogation systems will explore the agar waveguide response to external stimuli for assessing physical and biochemical parameters, such as strain, temperature, electric current, humidity, concentration, and biological activity. This proposal contributes to the development of novel biocompatible devices, providing technological advances to the areas of photonics, instrumentation, materials science, and medicine. Besides, publications involving international cooperation will disseminate the results and establish new multidisciplinary topics that integrate education and research activities.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Yu Tzu Wu - Integrante / Eric Fujiwara - Coordenador / Cristiano Monteiro de Barros Cordeiro - Integrante / Lidia de Oliveira Rosa - Integrante., Financiador(es): Fundação de Amparo à Pesquisa do Estado de São Paulo - Auxílio financeiro.

• 2022 - 2025

  Speckle-based photonic sensor systems, Descrição: This proposal aims to develop novel speckle-based photonic sensor systems integrated with image processing and machine learning algorithms for measuring physical and biochemical variables. Photonic sensors are emerging technologies applicable to the monitoring and automation of industry and lab processes, with further applications in agriculture, medicine, robotics, and aerospace. Optical fiber sensors present lightweight, multiplexing capability, resistance to biochemical agents, and immunity to electromagnetic interference; however, the dependence on complex, expensive interrogation systems exhibited by typical fiber setups compromises their viability for practical applications. Optical sensors based on light speckles (granular patterns produced by the interference of coherent light) provide high sensitivity and rely on ordinary visible laser and digital cameras. Moreover, one may analyze the dynamic scattering by living samples (biospeckle) to investigate biochemical parameters and the quality of fruits, for example. The project comprises optical fiber specklegram sensors based on specialty fibers to assess physical and chemical variables and free-space biospeckle setups to investigate the biochemical characteristics of fruits. Our groups have previous know-how and available infrastructure to fabricate, characterize, and implement fiber sensors and free-space optics systems, as well as to conduct biochemical analyses by NIR spectroscopy and other techniques. Upon validation by computer simulations and experiments, we envisage practical applications for the developed sensors in cooperation with companies and research centers. The results will contribute to the area of photonics in Brazil, with perspectives for new products and automated processes devoted to the industry, aerospace technology, security, assistive technologies, and agriculture.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (1) / Especialização: (1) / Mestrado acadêmico: (0) / Mestrado profissional: (0) / Doutorado: (2) . , Integrantes: Yu Tzu Wu - Integrante / Eric Fujiwara - Coordenador / Carlos Kenichi Suzuki - Integrante / Douglas Fernandes Barbin - Integrante / Cristiano Monteiro de Barros Cordeiro - Integrante / Thiago Destri Cabral - Integrante / Marcos Antonio Ruggieri Franco - Integrante / Jonas Henrique Osório - Integrante., Financiador(es): Conselho Nacional de Desenvolvimento Científico e Tecnológico - Auxílio financeiro.

• 2018 - 2020

  Development of an optical fiber force myography sensor for applications in human-robot interfaces, Descrição: The force myography (FMG) is the mechanical counterpart of the surface electromyography, in which the hand movements and forces are estimated from the radial pressure exerted by the forearm muscles, providing a robust and straightforward method for applications in teleoperation, prosthesis control, and human-robot interaction. In this sense, the project proposes the development of an optical fiber sensor system for postures identification by FMG. The wearable optomechanical transducers will be designed based on techniques such as light intensity modulation and specklegram analyses, with further characterization and refinements in order to achieve 10 N sensitivity and 100 ms dynamic response. Next, waveform features extraction procedures and artificial neural networks classifiers will be implemented for correlating the acquired FMG signals to the performed postures, with 90% target accuracy. Finally, the measurement system will be integrated with a virtual anthropomorphic manipulator for real-time control, so the robot behavior will be described by an event-driven finite state machine switched by the classifier output. The successful accomplishment of this project will provide a novel, robust, and low-cost technology for human-robot interaction, with further applications in bionic prostheses control and virtual reality systems, thus generating technical contributions to the fields of photonics, robotics, and automation, as well as multidisciplinary scientific results.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Yu Tzu Wu - Integrante / Eric Fujiwara - Coordenador / Carlos Kenichi Suzuki - Integrante / Egont Alexandre Schenkel - Integrante / Marco César Soares - Integrante / Matheus Kaue Gomes - Integrante / Tarcísio Déda Costa Oliveira - Integrante., Financiador(es): Fundação de Amparo à Pesquisa do Estado de São Paulo - Auxílio financeiro.

• 2017 - 2021

  Reconstrução Tridimensional de Frutos com Biospeckle, Descrição: Técnicas ópticas vêm sendo utilizadas para diversas finalidades, caracterizando métodos de análise não invasivos e não destrutivos para materiais diversos, como produtos agrícolas. O objetivo deste trabalho é avaliar o amadurecimento de frutos através do processamento do Biospeckle Laser, integrando o mapa de atividade na reconstrução tridimensional obtida a partir do sensor Microsoft Kinect. Serão utilizados um emissor de laser diodo (632 nm de comprimento de onda), câmera CCD, sensor Kinect, computador, prato com rotação conhecida, tomates, bem como softwares para processamento das imagens. Serão correlacionados métodos tradicionais para verificar a maturidade (parâmetros de Hunter L a b, pH, Sólidos Solúveis Totais SST, a relação Sólidos Solúveis Totais e Acidez Total Titulável SST/ATT, Módulo de Elasticidade, massa e diâmetro) e a reconstrução tridimensional com o Biospeckle. Será analisada a correlação entre os métodos tradicionais e os modelos tridimensionais para diferentes estádios de maturação. Este projeto dá continuidade à patente MÉTODO PARA A RECONSTRUÇÃO TRIDIMENSIONAL INTEGRANDO A ATIVIDADE BIOLÓGICA DE FRUTOS E USO, podendo trabalhar de forma embarcada, monitorando em tempo real a qualidade dos frutos integrando o projeto PLATAFORMA MULTIUSO ELETROMECÂNICA PARA APLICAÇÕES AGRÍCOLAS, auxiliando veículos não tripulados.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (8) / Mestrado acadêmico: (1) . , Integrantes: Yu Tzu Wu - Integrante / Juliana Aparecida Fracarolli - Coordenador / Douglas Fernandes Barbin - Integrante / Armando Kazuo Fujii - Integrante / Rosa Helena Aguiar - Integrante / Angel Pontin Garcia - Integrante / Jose Blasco Ivars - Integrante / Alexandre Xavier Falcão - Integrante / Fernanda Fernandes Adimari Pavarin - Integrante / Fernando de Saes Madeira Vallar - Integrante / Brenda Carvalho dos Santos - Integrante / Thiago Vieira Calile Costa - Integrante., Financiador(es): Conselho Nacional de Desenvolvimento Científico e Tecnológico - Auxílio financeiro.

• 2015 - 2017

  Desenvolvimento de sistema de sensoriamento tátil baseado em fibras ópticas para aplicações em mecatrônica, Descrição: Tactile sensors are required for the implementation of advanced mechatronic systems, such as in robotics, virtual reality or medical applications, allowing point or distributed measurements by the physical contact between sensor and object. Even thought several technologies have been proposed (based on resistive, capacitive, optical, and magnetic principles), such devices present limitations in terms of performance, cost, and robustness. Alternatively, optical fiber sensors are considered promising technologies, presenting high sensitivity, compact size, and distributed sensing capability. In this context, present Research Project proposes the development of fiber tactile sensors based in 3 measurement principles: intensity, wavelength and specklegram analysis. The transducers will be integrated to optoelectronic signal interrogation systems, and the point or distributed sensors will be characterized according to their static and dynamic responses. After defining the calibration curves, the information acquired by the sensors will be processed by artificial neural networks, and then displayed by a graphical user interface. In addition, the tactile devices will be eventually integrated to glove-based sensors, aiming applications in haptics and rehabilitation systems. The project will provide a high sensitive, robust and low cost sensing solution of relevance for the photonics, robotics and automation industries in Brazil, and also academic results with notability in terms of originality and interdisciplinarity... , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Yu Tzu Wu - Integrante / Eric Fujiwara - Coordenador / Carlos Kenichi Suzuki - Integrante / Murilo Ferreira Marques dos Santos - Integrante / Francine Domingos de Paula - Integrante / Delson Torikai - Integrante / Niederauer Mastelari - Integrante / Egont Alexandre Schenkel - Integrante / Bruna de Andrade Mattos - Integrante / Cleber França Carvalho - Integrante., Financiador(es): Fundação de Amparo à Pesquisa do Estado de São Paulo - Auxílio financeiro.

• 2015 - 2016

  Desenvolvimento de um sensor de fibra óptica para monitoramento de sinais de miografia de força, Descrição: O projeto tem como objetivo o desenvolvimento de um sensor de fibra para monitoramento de sinais de miografia de força (FMG), visando a posterior detecção das forças e movimentos das mãos. Serão construídos transdutores opto-mecânicos a serem distribuídos ao longo do antebraço, de forma a correlacionar a intensidade luminosa com a força aplicada pelos diferentes músculos. Os sinais ópticos serão adquiridos e condicionados, e então armazenados em um banco de dados. Posteriormente, as informações obtidas pelo conjunto de sensores serão correlacionadas com as condições de força e postura aplicadas por meio de algoritmos de redes neurais artificiais (RNA), sendo que os resultados serão apresentados em tempo real em uma interface computacional. Se bem sucedido, o projeto proporcionará uma tecnologia inovadora e de baixo custo relativo para monitoramento das forças e movimentos da mão do usuário, viabilizando a sua implementação no controle de próteses, acionamento de manipuladores antropomórficos, desenvolvimento de ambientes de simulação háptica, além de servir como ferramenta para diagnóstico e reabilitação.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Yu Tzu Wu - Integrante / Eric Fujiwara - Coordenador / Carlos Kenichi Suzuki - Integrante / Murilo Ferreira Marques dos Santos - Integrante / Egont Alexandre Schenkel - Integrante / Bruna de Andrade Mattos - Integrante / Cleber França Carvalho - Integrante., Financiador(es): Fundação de Desenvolvimento da UNICAMP - Auxílio financeiro.

Prêmios