Octopus: A Design Methodology for Motion Capture Wearables
AbstractHuman 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. View Full-Text
Share & Cite This Article
Marin, J.; Blanco, T.; Marin, J.J. Octopus: A Design Methodology for Motion Capture Wearables. Sensors 2017, 17, 1875.
Marin J, Blanco T, Marin JJ. Octopus: A Design Methodology for Motion Capture Wearables. Sensors. 2017; 17(8):1875.Chicago/Turabian Style
Marin, Javier; Blanco, Teresa; Marin, Jose J. 2017. "Octopus: A Design Methodology for Motion Capture Wearables." Sensors 17, no. 8: 1875.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.