IoT4Fun Rapid Prototyping Toolkit for Smart Toys De Albuquerque, Anna Priscilla Kelner, Judith Dias Nogueira, Thiago Silva Rocha Junior, Railton 2020-01-04T07:27:15Z 2020-01-04T07:27:15Z 2020-01-07
dc.description.abstract Rapid prototyping tools turn the design of smart toys faster and easier for creative teams. Appropriate tools for smart toys should meet a list of requirements, which include distributed data collection and adaptability for assorted toy shapes and size. The IoT4Fun toolkit innovates by mixing the embedded, modular, and plug-and-play approaches. It supports motion tracking data, wireless communication, and contactless identification. IoT4Fun demonstrates its effectiveness to design a variety of smart toy solutions by fitting into a hula-hoop toy until spherical, cubic, and wearable shapes. Solutions connect with either mobile applications or other toys and play rules range from open-ended to closed behaviors. End-users exhaustively tested developed solutions, and technical assessment evaluates their integrity after playtesting sessions. Results show comparative data on battery consumption and vulnerabilities threats for data security and privacy of each design. Future versions of IoT4Fun can benefit from miniaturization, robustness, and reliability improvements.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.183
dc.identifier.isbn 978-0-9981331-3-3
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Machine Learning, Robotic, and Toy Computing
dc.subject battery consumption
dc.subject hardware requirements
dc.subject internet of things
dc.subject rapid prototyping
dc.subject smart toys
dc.title IoT4Fun Rapid Prototyping Toolkit for Smart Toys
dc.type Conference Paper
dc.type.dcmi Text
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