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dc.contributor.authorWu, Ying Choonen_US
dc.contributor.authorWang, Jefferyen_US
dc.contributor.authorTran, Andrewen_US
dc.contributor.authorSchperberg, Alexen_US
dc.contributor.authorCaldwell, Johnen_US
dc.contributor.authorJung, Tzyy-Pingen_US
dc.contributor.authorKuo, Po-Chihen_US
dc.date.accessioned2017-04-21T06:50:15Z-
dc.date.available2017-04-21T06:50:15Z-
dc.date.issued2016en_US
dc.identifier.isbn978-1-5090-0632-8en_US
dc.identifier.urihttp://hdl.handle.net/11536/134331-
dc.description.abstractMoBI-Box is an inexpensive, portable, and ergonomic desktop system for simultaneously measuring and integrating multiple types of biosignals that transpire at different time scales and levels of organization. It can be assembled from readily available, off-the-shelf components and customized to suit specific needs. It can be implemented in a wide range of settings, including homes, classrooms, clinics, and research labs for only a modest start-up cost (beginning around $1200). MoBI-Box systems are currently in use for a number of training and research applications. This paper will outline an ongoing project to explore the impact of motor imagery on learning of a complex skill with both motoric and conceptual elements namely, learning Mandarin orthography. Findings have implications for the development of training systems in other specialized domains that require not only kinesthetic expertise, but also specialized knowledge.en_US
dc.language.isoen_USen_US
dc.subjectEEGen_US
dc.subjectmotion trackingen_US
dc.subjecteye tracking mobile brain-body imagingen_US
dc.subjectMOBIen_US
dc.subjectskill learningen_US
dc.subjectChinese orthographyen_US
dc.titleMoBI-Box: A Next Generation Mobile Brain-Body Imaging Platformen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2016 IEEE INTERNATIONAL MULTI-DISCIPLINARY CONFERENCE ON COGNITIVE METHODS IN SITUATION AWARENESS AND DECISION SUPPORT (COGSIMA)en_US
dc.citation.spage93en_US
dc.citation.epage96en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000390774200016en_US
dc.citation.woscount0en_US
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