Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wu, Ying Choon | en_US |
dc.contributor.author | Wang, Jeffery | en_US |
dc.contributor.author | Tran, Andrew | en_US |
dc.contributor.author | Schperberg, Alex | en_US |
dc.contributor.author | Caldwell, John | en_US |
dc.contributor.author | Jung, Tzyy-Ping | en_US |
dc.contributor.author | Kuo, Po-Chih | en_US |
dc.date.accessioned | 2017-04-21T06:50:15Z | - |
dc.date.available | 2017-04-21T06:50:15Z | - |
dc.date.issued | 2016 | en_US |
dc.identifier.isbn | 978-1-5090-0632-8 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/134331 | - |
dc.description.abstract | MoBI-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.iso | en_US | en_US |
dc.subject | EEG | en_US |
dc.subject | motion tracking | en_US |
dc.subject | eye tracking mobile brain-body imaging | en_US |
dc.subject | MOBI | en_US |
dc.subject | skill learning | en_US |
dc.subject | Chinese orthography | en_US |
dc.title | MoBI-Box: A Next Generation Mobile Brain-Body Imaging Platform | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2016 IEEE INTERNATIONAL MULTI-DISCIPLINARY CONFERENCE ON COGNITIVE METHODS IN SITUATION AWARENESS AND DECISION SUPPORT (COGSIMA) | en_US |
dc.citation.spage | 93 | en_US |
dc.citation.epage | 96 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000390774200016 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |