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• W2747539491 startingPage "1875" @default.
• W2747539491 abstract "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." @default.
• W2747539491 created "2017-08-31" @default.
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• W2747539491 date "2017-08-15" @default.
• W2747539491 modified "2023-10-01" @default.
• W2747539491 title "Octopus: A Design Methodology for Motion Capture Wearables" @default.
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• W2747539491 doi "https://doi.org/10.3390/s17081875" @default.
• W2747539491 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5580045" @default.
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