• DocumentCode
    652843
  • Title

    Emotional Influence on SSVEP Based BCI

  • Author

    Yachen Zhu ; Xilan Tian ; Guobing Wu ; Gasso, Gilles ; Shangfei Wang ; Canu, Stephane

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2013
  • fDate
    2-5 Sept. 2013
  • Firstpage
    859
  • Lastpage
    864
  • Abstract
    The objective of the paper is to investigate the effect of subject´s emotional states on Brain Computer Interface (BCI) performance. Two psycho-physiological experiments are designed and implemented. The first one induces subjects´ emotion using video clips first, then involves subjects´ in SSVEP task. The second one induces subjects´ emotions and SSVEP simultaneously by flickering IAPS pictures in four directions. used to recognize the performed BCI tasks. Based on the performances of learned classifiers, we analyzed the influence of emotion using two statistical tests. The McNamara´s test serves to assess if emotion has any influences on mental task performing while Wilcox on signed-rank test analyses if emotion has a positive or detrimental effect on ability to achieve a SSVEP task. Obtained results suggest influence of emotional states: the positive and neutral emotions influence BCI performance similarly, while the negative emotion tends to deteriorate classification accuracy.
  • Keywords
    brain-computer interfaces; emotion recognition; image classification; medical image processing; statistical testing; support vector machines; video signal processing; visual evoked potentials; BCI task recognition; IAPS pictures; McNemar test; SSVEP based BCI; Wilcoxon signed-rank test; brain computer interface; emotional influence; emotional states; linear SVM; mental task performance; negative emotion; neutral emotions; positive emotions; psycho-physiological experiments; statistical tests; steady-state visual evoked potential; video clips; Accuracy; Analysis of variance; Electric potential; Electroencephalography; Emotion recognition; Feature extraction; Support vector machines; McNemar´s test; SSVEP; Wilcoxon test; emotinal BCI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
  • Conference_Location
    Geneva
  • ISSN
    2156-8103
  • Type

    conf

  • DOI
    10.1109/ACII.2013.161
  • Filename
    6681553