Abstract
Data stored and transferred through the Internet increases every day. The problem with these data begins with the lack of structure, making information disperse, uncorrelated, non-transparent and difficult to access and share. The World Wide Web Consortium (W3C), proposed a solution for this problem, Semantic Web, promoting semantic structured data, like ontologies, enabling machines to perform more work involved in finding, combining, and acting upon information on the web. Using this to our advantage we created a Knowledge Acquisition System, written in JavaScript using JavaScript Object Notation (JSON) as the data structure and JSON Schema to define that structure, enabling new ways of acquiring and storing knowledge semantically structured. A novel Human Computer Interaction framework was developed based on this knowledge system, providing a Electrophysiological Actuation Mechanism. We tested this mechanism by controlling an electrostimulator.
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Prabhu, P.: Handbook of Human-Computer Interaction. North Holland, Amsterdam (1997)
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: The kDD process for extracting useful knowledge from volumes of data. Commun. ACM 39, 27–34 (1996)
Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Sci. Am. Mag. 284(5), 34–43 (2001)
Thompson, H., et al.: XML schema. W3C working draft, May 2001 (2000)
Klarlund, N., Møller, A., Schwartzbach, M.: DSD: a schema language for xml. In: Proceedings of the Third Workshop on Formal Methods in Software Practice, pp. 101–111. ACM (2000)
Malmivuo, J., Plonsey, R.: Bioelectromagnetism, vol. 34. Peter Peregrinus Ltd, London (1996)
von Lewinski, F., Hofer, S., Kaus, J., Merboldt, K., Rothkegel, H., Schweizer, R., Liebetanz, D., Frahm, J., Paulus, W.: Efficacy of EMG-triggered electrical arm stimulation in chronic hemiparetic stroke patients. Restor. Neurol. Neurosci. 27, 189–197 (2009)
Cogan, S.: Neural stimulation and recording electrodes. Ann. Rev. Biomed. Eng. 10, 275–309 (2008)
Perrigot, M., Pichon, B., Peskine, A., Vassilev, K.: Électrostimulation et rééducation périnéale de lincontinence urinaire et des troubles mictionnels non neurologiques. Annales de réadaptation et de médecine physique 51, 479–490 (2008). Elsevier
Lebedev, V., Malygin, A., Kovalevski, A., Rychkova, S., Sisoev, V., Kropotov, S., Krupitski, E., Gerasimova, L., Glukhov, D., Kozlowski, G.: Devices for noninvasive transcranial electrostimulation of the brain endorphinergic system: application for improvement of human psycho-physiological status. Artif. organs 26, 248–251 (2002)
Mayor, D., Micozzi, M.: Energy medicine east and west: a natural history of qi (paperback). Recherche 67, 02 (2011)
Le Tohic, A., Bastian, H., Pujo, M., Beslot, P., Mollard, R., Madelenat, P.: Effets de l’électrostimulation par veinoplus\(\textregistered \) sur les troubles circulatoires des membres inférieurs chez la femme enceinte. étude préliminaire. Gynécologie Obstétrique & Fertilité 37, 18–24 (2009)
Motz, H., Rattay, F.: A study of the application of the Hodgkin-Huxley and the Frankenhaeuser-Huxley model for electrostimulation of the acoustic nerve. Neuroscience 18, 699–712 (1986)
Siff, M.: Applications of electrostimulation in physical conditioning: a review. J. Strength Cond. Res. 4, 20 (1990)
Marqueste, T., Messan, F., Hug, F., Laurin, J., Dousset, E., Grelot, L., Decherchi, P.: Effect of repetitive biphasic muscle electrostimulation training on vertical jump performances in female volleyball players. Int. J. Sport Health Sci. 8, 50–55 (2010)
Brocherie, F., Babault, N., Cometti, G., Maffiuletti, N., Chatard, J.: Electrostimulation training effects on the physical performance of ice hockey players. Med. Sci. Sports Exerc. 37, 455 (2005)
Breen, P., Corley, G., O’Keeffe, D., Conway, C., ÓLaighin, G.: A programmable and portable NMES device for drop foot correction and blood flow assist applications. Med. Eng. Phys. 31, 400–408 (2009)
Keller, T., Popovic, M., Pappas, I., Müller, P.: Transcutaneous functional electrical stimulator compex motion. Artif. Organs 26, 219–223 (2002)
Suter, B.A., O’Connor, T., Iyer, V., Petreanu, L.T., Hooks, B.M., Kiritani, T., Svoboda, K., Shepherd, G.M.G.: Ephus: multipurpose data acquisition software for neuroscience experiments. Front. Neural Circ. 4, 100 (2010)
Prochazka, A., Gauthier, M., Wieler, M., Kenwell, Z.: The bionic glove: an electrical stimulator garment that provides controlled grasp and hand opening in quadriplegia. Arch. Phys. Med. Rehabil. 78, 608–614 (1997)
Holzinger, A., Leitner, H.: Lessons from real-life usability engineering in hospital: from software usability to total workplace usability. In: Holzinger, A., Weidmann, K.-H. (eds.) Empowering Software Quality: How Can Usability Engineering Reach these Goals, pp. 153–160. Austrian Computer Society, Vienna (2005)
Broderick, B., Breen, P., ÓLaighin, G.: Electronic stimulators for surface neural prosthesis. J. Autom. Control 18, 25–33 (2008)
Crockford, D.: The application/json media type for javascript object notation (JSON) (2006)
Zyp, K.: A JSON media type for describing the structure and meaning of JSON documents (2011)
Stoutemyer, D.: Can the Eureqa symbolic regression program, computer algebra and numerical analysis help each other? Arxiv preprint arXiv:1203.1023 (2012)
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da Costa, N.M.C., Araujo, T., Nunes, N., Gamboa, H. (2014). Knowledge Acquisition System based on JSON Schema for Electrophysiological Actuation. In: Obaidat, M., Filipe, J. (eds) E-Business and Telecommunications. ICETE 2012. Communications in Computer and Information Science, vol 455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44791-8_18
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DOI: https://doi.org/10.1007/978-3-662-44791-8_18
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