The Evoked Potential Human-computer Interface

Skidmore, Trent A.; Hill, Holger

doi:10.1109/iembs.1991.683999

Cited by 4 publications

(3 citation statements)

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“…In the past few decades, many studies have revealed that the SSVEP pattern is effective for BCI control, and various SSVEP-based brain-computer interface (BCI) systems have been proposed by numerous laboratories and research groups (Poryzala and Materka, 2014). It has been verified that four driving rates in an evoked potential interface system are distinguishable (Skidmore and Hill, 1991). In the study, the stimulation frequency was set at 35.050, 23.367, 17.525, and 14.020 Hz, and it was found that the responses corresponding to the stimulation frequencies were generated during the analysis.…”

Section: Introductionmentioning

confidence: 99%

Inter- and Intra-subject Template-Based Multivariate Synchronization Index Using an Adaptive Threshold for SSVEP-Based BCIs

Wang

Sun

et al. 2020

Front. Neurosci.

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The steady-state visually evoked potential (SSVEP) has been widely used in brain-computer interfaces (BCIs). Many studies have proved that the Multivariate synchronization index (MSI) is an efficient method for recognizing the frequency components in SSVEP-based BCIs. Despite its success, the recognition accuracy has not been satisfactory because the simplified pre-constructed sine-cosine waves lack abundant features from the real electroencephalogram (EEG) data. Recent advances in addressing this issue have achieved a significant improvement in recognition accuracy by using individual calibration data. In this study, a new extension based on inter-and intra-subject template signals is introduced to improve the performance of the standard MSI method. Through template transfer, inter-subject similarity and variability are employed to enhance the robustness of SSVEP recognition. Additionally, most existed methods for SSVEP recognition utilize a fixed time window (TW) to perform frequency domain analysis, which limits the information transfer rate (ITR) of BCIs. For addressing this problem, a novel adaptive threshold strategy is integrated into the extension of MSI, which uses a dynamic window to extract the temporal features of SSVEPs and recognizes the stimulus frequency based on a pre-set threshold. The pre-set threshold contributes to obtaining an appropriate and shorter signal length for frequency recognition and filtering ignored-invalid trials. The proposed method is evaluated on a 12-class SSVEP dataset recorded from 10 subjects, and the result shows that this achieves higher recognition accuracy and information transfer rate when compared with the CCA, MSI, Multi-set CCA, and Individual Template-based CCA. This paper demonstrates that the proposed method is a promising approach for developing high-speed BCIs.

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Section: Introductionmentioning

confidence: 99%

Inter- and Intra-subject Template-Based Multivariate Synchronization Index Using an Adaptive Threshold for SSVEP-Based BCIs

Wang

Sun

et al. 2020

Front. Neurosci.

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“…The frequency of the attended (and fixated) stimulus [40], as well as its harmonics [33], can then be traced in the EEG over the visual cortex, that is electrode locations O1, Oz and O2 according to the 10-20 system. If several stimuli are flickering with a different frequency, then the attended frequency will dominate over the other presented frequencies in the observers EEG [50].…”

Section: Steady-state Visually-evoked Potentialsmentioning

confidence: 99%

Bacteria Hunt

Mühl

Gürkök

Bos

et al. 2010

J Multimodal User Interfaces

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The multimodal, multi-paradigm brain-computer interfacing (BCI) game Bacteria Hunt was used to evaluate two aspects of BCI interaction in a gaming context. One goal was to examine the effect of feedback on the ability of the user to manipulate his mental state of relaxation. This was done by having one condition in which the subject played the game with real feedback, and another with sham feedback. The feedback did not seem to affect the game experience (such as sense of control and tension) or the objective indicators of relaxation, alpha activity and heart rate. The results are discussed with regard to clinical neurofeedback studies. The second goal was to look into possible interactions between the two BCI paradigms used in the game: steady-state visually-evoked potentials (SSVEP) as an indicator of concentration, and alpha activity as a measure of relaxation. SSVEP stimulation activates the cortex and can thus block the alpha rhythm. Despite this effect, subjects were able to keep their alpha power up, in compliance with the instructed relaxation task. In addition to the main goals, a new SSVEP detection algorithm was developed and evaluated.

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“…The frequency of the attended (and fixated) stimulus [Regan, 1989], as well as its harmonics [Müller-Putz et al, 2005], can then be traced in the EEG over the visual cortex, that is electrode locations O1, Oz, and O2 according to the 10-20 system. If several stimuli are flickering with a different frequency, then the attended frequency will dominate over the other presented frequencies in the observers EEG [Skidmore and Hill, 1991].…”

Section: Levelmentioning

confidence: 99%

Exploring the neurophysiology of affect during human-media interaction

Mühl¹

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sharing an office. Both were not only good-humored and supportive room-mates, but also always open to discussions, musings, and coffee breaks. From both I learned a lot about life, work, and myself. For both I harbor a deep respect. Secondly, there are Hayrettin Gürkök and Andreea Niculescu, which both were ready to take the responsibility as my paranymphs. My choice for them was well-informed on the basis of many shared experiences, both private and professional. Andreea did put up with me as her flat-mate for almost three years and I can't express how grateful I am for the social and safe home she gave me -a place that I always liked to return to also in the darkest evenings of my soul. Thirdly, and consistent with the "rule of three", I would like to thank all the other colleagues that made my time at HMI an emotionally rich and unforgettable experience.Finally, I am deeply indebted to my family. Their invaluable dedication and support, raising me into the many-layered, but mostly hedonic and harmony-seeking person I am. Some day I will figure out how to deal with that and work. I also want to mention my sister Sarah, who is, despite the distance in age and residence, a very important and loved part of my life.Oh, I almost forgot Lisa! Who's Lisa? Lisa is not only a great and coming artist responsible for the cover of this thesis, but also a loving partner, supportive friend, and simply fun to be with. There are not enough words of thank and gratitude in the world to show my gratefulness for her steady, non-wavering support and the great sociopsychological care during the last four years. I am looking forward to many more travels with you. Let's hope they are less stressful..

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The Evoked Potential Human-computer Interface

Cited by 4 publications

References 0 publications

Inter- and Intra-subject Template-Based Multivariate Synchronization Index Using an Adaptive Threshold for SSVEP-Based BCIs

Inter- and Intra-subject Template-Based Multivariate Synchronization Index Using an Adaptive Threshold for SSVEP-Based BCIs

Bacteria Hunt

Exploring the neurophysiology of affect during human-media interaction

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