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Development of a real-time wireless embedded brain signal acquisition/processing system and its application on driver's drowsiness estimation

dc.citation.epage4379en_US
dc.citation.spage4374en_US
dc.contributor.authorHung-Yi Hsiehen_US
dc.contributor.authorSheng-Fu Liangen_US
dc.contributor.authorLi-Wei Koen_US
dc.contributor.authorMay Linen_US
dc.contributor.authorChin-Teng Linen_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.date.accessioned2014-12-08T15:24:48Z
dc.date.available2014-12-08T15:24:48Z
dc.date.issued2006en_US
dc.description.abstractIn this paper, a portable real-time wireless embedded brain signal acquisition/processing system is developed. The proposed system integrates electroencephalogram signal amplifier technique, wireless transmission technique, and embedded real-time system. The development strategy of this system contains three parts: First, the Bluetooth protocol is used as a transmission interface and integrated with the bio-signal amplifier to transmit the measured physiological signals wirelessly. Second, the OMAP (Open Multimedia Architecture Platform) is used as a development platform and an embedded operating system for OMAP is also designed. Finally, DSP Gateway is developed as a mechanism to deal with the brain-signal analyzing tasks shared by ARM and DSP. A driver's cognitive-state estimation program has been developed and implemented on the proposed dual core processor-based real time wireless embedded system for demonstration.en_US
dc.identifier.doi10.1109/ICSMC.2006.384822en_US
dc.identifier.isbn978-1-4244-0099-7en_US
dc.identifier.issn1062-922Xen_US
dc.identifier.journal2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGSen_US
dc.identifier.urihttp://dx.doi.org/10.1109/ICSMC.2006.384822en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/17241
dc.identifier.wosnumberWOS:000248078504142
dc.language.isoen_USen_US
dc.titleDevelopment of a real-time wireless embedded brain signal acquisition/processing system and its application on driver's drowsiness estimationen_US
dc.typeProceedings Paperen_US

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