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000149406 005__ 20190812205417.0
000149406 02470 $$2ISI$$a000287964004156
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000149406 245__ $$aAdaptation of Hybrid Human-Computer Interaction Systems using EEG Error-Related Potentials
000149406 269__ $$a2010
000149406 260__ $$bIEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, NJ 08855-1331 USA$$c2010
000149406 336__ $$aConference Papers
000149406 490__ $$aIEEE Engineering in Medicine and Biology Society Conference Proceedings
000149406 520__ $$aPerformance improvement in both humans and artificial systems strongly relies in the ability of recognizing erroneous behavior or decisions. This paper, that builds upon previous studies on EEG error-related signals, presents a hybrid approach for human computer interaction that uses human gestures to send commands to a computer and exploits brain activity to provide implicit feedback about the recognition of such commands. Using a simple computer game as a case study, we show that EEG activity evoked by erroneous gesture recognition can be classified in single trials above random levels. Automatic artifact rejection techniques are used, taking into account that subjects are allowed to move during the experiment. Moreover, we present a simple adaptation mechanism that uses the EEG signal to label newly acquired samples and can be used to re-calibrate the gesture recognition system in a supervised manner. Offline analysis show that, although the achieved EEG decoding accuracy is far from being perfect, these signals convey sufficient information to significantly improve the overall system performance.
000149406 6531_ $$a[Opportunity]
000149406 6531_ $$a[TOBI]
000149406 700__ $$0241256$$g137762$$aChavarriaga, Ricardo
000149406 700__ $$0242184$$g196234$$aBiasiucci, Andrea
000149406 700__ $$aFörster, Kilian
000149406 700__ $$aRoggen, Daniel
000149406 700__ $$aTröster, Gerhard
000149406 700__ $$aMillán, José del R.$$g149175$$0240030
000149406 7112_ $$dSeptember 1-4, 2010$$cBuenos Aires, Argentina$$a32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'10)
000149406 773__ $$t2010 Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC)$$q4226-4229
000149406 8564_ $$zn/a$$yPostprint$$uhttps://infoscience.epfl.ch/record/149406/files/embc10_err.pdf$$s799911
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000149406 937__ $$aEPFL-CONF-149406
000149406 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
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