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dc.contributor.authorLin, Chin-Tengen_US
dc.contributor.authorKo, Li-Weien_US
dc.contributor.authorChang, Che-Juien_US
dc.contributor.authorWang, Yu-Teen_US
dc.contributor.authorChung, Chia-Hsinen_US
dc.contributor.authorYang, Fu-Shuen_US
dc.contributor.authorDuann, Jeng-Renen_US
dc.contributor.authorJung, Tzyy-Pingen_US
dc.contributor.authorChiou, Jin-Chernen_US
dc.date.accessioned2014-12-08T15:22:16Z-
dc.date.available2014-12-08T15:22:16Z-
dc.date.issued2009en_US
dc.identifier.isbn978-3-642-02811-3en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/15774-
dc.description.abstractThis study extends our previous work on mobile & wireless EEG acquisition to a truly wearable and wireless human-machine interface, NCTU Brain-Computer-Interface-headband,(BCI-headband), featuring: (1) dry Micro-Electro-Mechanical System (MEMS) EEG electrodes with 400 ganged contacts for acquiring signals from non-hairy sites without use Of gel or skin preparation; (2) a miniature data acquisition circuitry, (3) wireless telemetry and (4) online signal processing on a commercially available cell phone or a lightweight, wearable digital signal processing module. The applicability of the NCTU BCI headband to EEG monitoring in real-world environments was demonstrated in a sample study: cognitive-state monitoring and management of participants performing normal tasks.en_US
dc.language.isoen_USen_US
dc.subjectDry electrodesen_US
dc.subjectbrain computer interfaceen_US
dc.subjectmobile and wireless EEGen_US
dc.titleWearable and Wireless Brain-Computer Interface and Its Applicationsen_US
dc.typeProceedings Paperen_US
dc.identifier.journalFOUNDATIONS OF AUGMENTED COGNITION, PROCEEDINGSen_US
dc.citation.volume5638en_US
dc.citation.spage741en_US
dc.citation.epage748en_US
dc.contributor.department腦科學研究中心zh_TW
dc.contributor.departmentBrain Research Centeren_US
dc.identifier.wosnumberWOS:000268101300084-
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