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  1. Appropriate twinkling frequency and inter-sources distance selection in SSVEP-based HCI systems
Appropriate twinkling frequency and inter-sources distance selection in SSVEP-based HCI systems
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Appropriate twinkling frequency and inter-sources distance selection in SSVEP-based HCI systems

Resalat, S. N

Appropriate twinkling frequency and inter-sources distance selection in SSVEP-based HCI systems

Resalat, S. N ; Sharif University of Technology | 2011

992 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/ICSIPA.2011.6144105
  3. Publisher: 2011
  4. Abstract:
  5. Steady-State Visual Evoked Potentials (SSVEPs) are one of the most important EEG signals used in Human Computer Interface (HCI) systems. These signals are generated by Looking at flickering external light sources stimulating the central part of the retina. By increasing the number of external light sources, detection of the corresponding SSVEPs from the recorded EEG signal becomes more complicated. On the other hand, the ratio of the sensitivity to specificity in high-speed classifiers becomes more significant. This study presents the effect of the twinkling frequencies and the inter-sources distance of two Light Emitting Diodes (LEDs) on the ratio of the sensitivity to specificity of the two classes. The features used for signal classification is the amplitude of the main frequencies in the spectrum of each frequency pairs that is simply classified by the Max classifier. The purpose of this is to find the best twinkling frequencies and the best inter-sources distance among a set of predefined values when there are only two light sources in order to nearly equalize the sensitivity and the specificity. For this aim, seven different frequency pairs of LEDs in five distinct inter-sources distances are examined and it is shown that the best frequency pair is 10 and 15 Hz with inter-sources distances of 24 or 44 cm
  6. Keywords:
  7. HCI ; Steady State Visual Evoked Potentials (SSVEPs) ; Twinkling light sources ; Best frequency ; Different frequency ; EEG signals ; HCI system ; High-speed ; Human computer interfaces ; Inter-sources distance ; Main frequency ; Signal classification ; Electrophysiology ; Human computer interaction ; Image processing ; Light emitting diodes ; Light sources
  8. Source: 2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011, Malaysia, 16 November 2011 through 18 November 2011 ; November , 2011 , Pages 12-15 ; 9781457702419 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6144105