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Octopus: A Design Methodology for Motion Capture Wearables

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 w...

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Detalles Bibliográficos
Autores principales: Marin, Javier, Blanco, Teresa, Marin, Jose J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580045/
https://www.ncbi.nlm.nih.gov/pubmed/28809786
http://dx.doi.org/10.3390/s17081875
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author Marin, Javier
Blanco, Teresa
Marin, Jose J.
author_facet Marin, Javier
Blanco, Teresa
Marin, Jose J.
author_sort Marin, Javier
collection PubMed
description 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.
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spelling pubmed-55800452017-09-06 Octopus: A Design Methodology for Motion Capture Wearables Marin, Javier Blanco, Teresa Marin, Jose J. Sensors (Basel) Article 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. MDPI 2017-08-15 /pmc/articles/PMC5580045/ /pubmed/28809786 http://dx.doi.org/10.3390/s17081875 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marin, Javier
Blanco, Teresa
Marin, Jose J.
Octopus: A Design Methodology for Motion Capture Wearables
title Octopus: A Design Methodology for Motion Capture Wearables
title_full Octopus: A Design Methodology for Motion Capture Wearables
title_fullStr Octopus: A Design Methodology for Motion Capture Wearables
title_full_unstemmed Octopus: A Design Methodology for Motion Capture Wearables
title_short Octopus: A Design Methodology for Motion Capture Wearables
title_sort octopus: a design methodology for motion capture wearables
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580045/
https://www.ncbi.nlm.nih.gov/pubmed/28809786
http://dx.doi.org/10.3390/s17081875
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