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dc.contributor.author임창환-
dc.date.accessioned2017-05-08T01:21:35Z-
dc.date.available2017-05-08T01:21:35Z-
dc.date.issued2015-08-
dc.identifier.citationBIOMEDICAL SIGNAL PROCESSING AND CONTROL, v. 21, Page. 99-104en_US
dc.identifier.issn1746-8094-
dc.identifier.issn1746-8108-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S1746809415000919-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/27161-
dc.description.abstractThe goal of this study was to develop a hybrid mental speller that can effectively prevent unexpected typing errors in the steady-state visual evoked potential (SSVEP)-based mental speller by simultaneously using the information of eye-gaze direction detected by a low-cost webcam without calibration. In the implemented hybrid mental speller, a character corresponding to the strongest SSVEP response was typed only when the position of the selected character coincided with the horizontal eye-gaze direction ('left', 'no direction', or 'right'# detected by the webcam-based eye tracker. When the character detected by the SSVEP-based mental speller was located in the direction opposite the eye-gaze direction, the character was not typed at all #a beep sound was generated instead#, and thus the users of the speller 'did not need to correct the mistyped character using a 'BACKSPACE' key. To verify the feasibility and usefulness of the developed hybrid mental spelling system, we conducted online experiments with ten healthy participants, each of whom was asked to type 15 English words consisting of a total of 68 characters. As a result, 16.6 typing errors could be prevented on average, demonstrating that the proposed hybrid strategy could effectively enhance the performance of the SSVEP-based mental spelling system. #C# 2015 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipThis work was supported in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2012R1A2A2A03045395 and NRF-2011-0027859) and supported in part by the ICT R&D program of MSIP/IITP (10045452, Development of Multimodal Brain-Machine Interface System Based on User Intent Recognition).en_US
dc.language.isoenen_US
dc.publisherELSEVIER SCI LTDen_US
dc.subjectBrain computer interface (BCI)en_US
dc.subjectHybrid mental spelleren_US
dc.subjectElectroencephalography (EEG)en_US
dc.subjectSteady-state visual evoked potential (SSVEP)en_US
dc.subjectEye trackeren_US
dc.titleDevelopment of a hybrid mental spelling system combining SSVEP-based brain-computer interface and webcam-based eye trackingen_US
dc.typeArticleen_US
dc.relation.volume21-
dc.identifier.doi10.1016/j.bspc.2015.05.012-
dc.relation.page99-104-
dc.relation.journalBIOMEDICAL SIGNAL PROCESSING AND CONTROL-
dc.contributor.googleauthorLim, Jeong-Hwan-
dc.contributor.googleauthorLee, Jun-Hak-
dc.contributor.googleauthorHwang, Han-Jeong-
dc.contributor.googleauthorKim, Dong Hwan-
dc.contributor.googleauthorIm, Chang-Hwan-
dc.relation.code2015008976-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING-
dc.identifier.pidich-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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