63027 20240319080943.0 doi 10.3390/s17081875 sideral 101676 ART-2017-101676 eng Marin, J. (orcid)0000-0003-4527-3267 Octopus: A design methodology for motion capture wearables 2017 Access copy available to the general public Unrestricted Human motion capture (MoCap) is widely recognised for its usefulness and application in different fields, such as health, sports, and leisure; therefore, its inclusion in current wearables (MoCap-wearables) is increasing, and it may be very useful in a context of intelligent objects interconnected with each other and to the cloud in the Internet of Things (IoT). However, capturing human movement adequately requires addressing difficult-to-satisfy requirements, which means that the applications that are possible with this technology are held back by a series of accessibility barriers, some technological and some regarding usability. To overcome these barriers and generate products with greater wearability that are more efficient and accessible, factors are compiled through a review of publications and market research. The result of this analysis is a design methodology called Octopus, which ranks these factors and schematises them. Octopus provides a tool that can help define design requirements for multidisciplinary teams, generating a common framework and offering a new method of communication between them. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.475 2017 CHEMISTRY, ANALYTICAL 30 / 78 = 0.385 2017 Q2 T2 INSTRUMENTS & INSTRUMENTATION 16 / 61 = 0.262 2017 Q2 T1 ELECTROCHEMISTRY 15 / 28 = 0.536 2017 Q3 T2 0.584 2017 Analytical Chemistry 2017 Q2 Atomic and Molecular Physics, and Optics 2017 Q2 Medicine (miscellaneous) 2017 Q2 Electrical and Electronic Engineering 2017 Q2 Instrumentation 2017 Q2 Biochemistry 2017 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Blanco, T. Universidad de Zaragoza (orcid)0000-0002-1831-3342 Marin, J.J. Universidad de Zaragoza (orcid)0000-0003-3223-1324 5002 720 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Proyectos de Ingeniería 5002 305 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Expresión Gráfica en Ing. 17, 8 (2017), 1875 [24 pp] Sensors Sensors 1424-8220 8482020 http://zaguan.unizar.es/record/63027/files/texto_completo.pdf Versión publicada 2362256 http://zaguan.unizar.es/record/63027/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:63027 articulos driver 2024-03-18-12:28:27 ARTICLE