Abstract
Rapid Prototyping Platforms reduce development time by allowing quick prototyping of a prototype idea and achieve more time for actual application development with user interfaces. This approach has long been followed in technical platforms, such as the Arduino. To transfer this form of prototyping to wearables, WearIT is presented in this paper. WearIT consists of four components as a wearable prototyping platform: (1) a vest, (2) sensor and actuator shields, (3) its own library and (4) a motherboard consisting of Arduino, Raspberry Pi, a board and a GPS module. As a result, a wearable prototype can be quickly developed by attaching sensor and actuator shields to the WearIT vest. These sensor and actuator shields can then be programmed through the WearIT library. Via Virtual Network Computing (VNC) with a remote computer, the screen contents of the Raspberry Pi can be accessed and the Arduino be programmed.
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Mysignals: Mysignals changes the future of medical and eHealth applications. http://www.my-signals.com/
Aleksy, M., Lehtola, M., Puchakayala, A.: Design and implementation of a wearable safety suit. IT Converg. Pract. 1(1), 28–36 (2013)
Banzi, M.: Getting Started with Arduino, 1st edn. Make: Projects (2008)
Buechley, L., Eisenberg, M.: The lilypad Arduino: toward wearable engineering for everyone. IEEE Pervas. Comput. 7(2), 12–15 (2008)
Buechley, L., Eisenberg, M., Catchen, J., Crockett, A.: The lilypad arduino: using computational textiles to investigate engagement, aesthetics, and diversity in computer science education. In: Proceedings of SIGCHI Conference on Human Factors in Computing Systems pp. 423–432, April 2008
Gengnagel, C., Nagy, E., Stark, R.: Rethink! Prototyping. Transdisciplinary Concepts of Prototyping. Springer International Publishing, Cham (2016). https://doi.org/10.1007/978-3-319-24439-6
Grosse-Puppendahl, T., Berghoefer, Y., Braun, A., Wimmer, R., Kuijper, A.: Opencapsense: a rapid prototyping toolkit for pervasive interaction using capacitive sensing. In: IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 152–159 (2013)
Hodges, S., Taylor, S., Villar, N., Scott, J., Helmes, J.: Exploring physical prototyping techniques for functional devices using. Net Gadgeteer. In: Proceedings of 7th International Conference on Tangible, Embedded and Embodied Interaction, pp. 271–274 (2013)
Hung, K., Zhang, Y.T., Tai, B.: Wearable medical devices for tele-home healthcare. In: 26th Annual International Conference of IEEE Engineering in Medicine and Biology Society, IEMBS 2004, vol. 2, pp. 5384–5387. IEEE (2004)
Jutila, M., Rivas, H., Karhula, P., Pantsar-Syväniemi, S.: Implementation of a wearable sensor vest for the safety and well-being of children. Procedia Comput. Sci. 32, 888–893 (2014)
Lee, J.C., Avrahami, D., Hudson, S.E., Forlizzi, J., Dietz, P.H., Leigh, D.: The Calder toolkit: wired and wireless components for rapidly prototyping interactive devices. In: Proceedings of 5th Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques, pp. 167–175 (2004)
Oxter, J.: Arduino shield list (2017). http://shieldlist.org/
Park, S., Mackenzie, K., Jayaraman, S.: The wearable motherboard: a framework for personalized mobile information processing (PMIP). In: Proceedings of 39th Annual Design Automation Conference, pp. 170–174. ACM (2002)
Park, S., Jayaraman, S.: Enhancing the quality of life through wearable technology. IEEE Eng. Med. Biol. Mag. 22(3), 41–48 (2003)
Seneviratne, S., Hu, Y., Nguyen, T., Lan, G., Khalifa, S., Thilakarathna, K., Hassan, M., Seneviratne, A.: A survey of wearable devices and challenges. IEEE Commun. Surv. Tutor. 19(4), 2573–2620 (2017)
S.L., L.C.D: Mysignals SW. eHealth and medical IoT development platform. technical guide, July 2017. http://www.libelium.com/downloads/documentation/mysignals_technical_guide.pdf
VivoMetrics: Vivometrics lifeshirt system technology, March 2003. http://www.vivometrics.com
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Leber, I., Madrid, N.M. (2018). WearIT - A Rapid Prototyping Platform for Wearables. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2018. Lecture Notes in Computer Science(), vol 10814. Springer, Cham. https://doi.org/10.1007/978-3-319-78759-6_31
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DOI: https://doi.org/10.1007/978-3-319-78759-6_31
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