000063027 001__ 63027
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000063027 0247_ $$2doi$$a10.3390/s17081875
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000063027 037__ $$aART-2017-101676
000063027 041__ $$aeng
000063027 100__ $$0(orcid)0000-0003-4527-3267$$aMarin, J.
000063027 245__ $$aOctopus: A design methodology for motion capture wearables
000063027 260__ $$c2017
000063027 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063027 5203_ $$aHuman motion capture (MoCap) is widely recognised for its usefulness and application in different fields, such as health, sports, and leisure; therefore, its inclusion in current wearables (MoCap-wearables) is increasing, and it may be very useful in a context of intelligent objects interconnected with each other and to the cloud in the Internet of Things (IoT). However, capturing human movement adequately requires addressing difficult-to-satisfy requirements, which means that the applications that are possible with this technology are held back by a series of accessibility barriers, some technological and some regarding usability. To overcome these barriers and generate products with greater wearability that are more efficient and accessible, factors are compiled through a review of publications and market research. The result of this analysis is a design methodology called Octopus, which ranks these factors and schematises them. Octopus provides a tool that can help define design requirements for multidisciplinary teams, generating a common framework and offering a new method of communication between them.
000063027 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000063027 590__ $$a2.475$$b2017
000063027 591__ $$aCHEMISTRY, ANALYTICAL$$b30 / 78 = 0.385$$c2017$$dQ2$$eT2
000063027 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b16 / 61 = 0.262$$c2017$$dQ2$$eT1
000063027 591__ $$aELECTROCHEMISTRY$$b15 / 28 = 0.536$$c2017$$dQ3$$eT2
000063027 592__ $$a0.584$$b2017
000063027 593__ $$aAnalytical Chemistry$$c2017$$dQ2
000063027 593__ $$aAtomic and Molecular Physics, and Optics$$c2017$$dQ2
000063027 593__ $$aMedicine (miscellaneous)$$c2017$$dQ2
000063027 593__ $$aElectrical and Electronic Engineering$$c2017$$dQ2
000063027 593__ $$aInstrumentation$$c2017$$dQ2
000063027 593__ $$aBiochemistry$$c2017$$dQ3
000063027 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000063027 700__ $$0(orcid)0000-0002-1831-3342$$aBlanco, T.$$uUniversidad de Zaragoza
000063027 700__ $$0(orcid)0000-0003-3223-1324$$aMarin, J.J.$$uUniversidad de Zaragoza
000063027 7102_ $$15002$$2720$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Proyectos de Ingeniería
000063027 7102_ $$15002$$2305$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Expresión Gráfica en Ing.
000063027 773__ $$g17, 8 (2017), 1875 [24 pp]$$pSensors$$tSensors$$x1424-8220
000063027 8564_ $$s8482020$$uhttps://zaguan.unizar.es/record/63027/files/texto_completo.pdf$$yVersión publicada
000063027 8564_ $$s2362256$$uhttps://zaguan.unizar.es/record/63027/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000063027 909CO $$ooai:zaguan.unizar.es:63027$$particulos$$pdriver
000063027 951__ $$a2024-03-18-12:28:27
000063027 980__ $$aARTICLE