• DocumentCode
    2223816
  • Title

    An auditory BCI using voluntary mental response

  • Author

    Guo, Jing ; Hong, Bo ; Guo, Fei ; Gao, Xiaorong ; Gao, Shangkai

  • Author_Institution
    Dept. of Biomed. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    April 29 2009-May 2 2009
  • Firstpage
    455
  • Lastpage
    458
  • Abstract
    A novel brain computer interface (BCI) is implemented in this study, which only depends on auditory modality. The subjects voluntary recognition of the property (e.g. voice laterality) of a target human voice makes the discriminability between brain responses to target and non-target voices in a random sequence. EEG data from eight subjects showed that the amplitude of N2 and late positive component (LPC) elicited by target voice was significantly higher than that by non-target ones. The area of N2 and LPC component was used as features for identifying the target among digit numbers 1-8, achieving an average accuracy of 89%.
  • Keywords
    auditory evoked potentials; brain-computer interfaces; electroencephalography; handicapped aids; psychology; EEG data; auditory ERP; brain computer interface; event-related potential; late positive component; paralyzed patient; voluntary mental response; Auditory system; Brain computer interfaces; Electrodes; Electroencephalography; Enterprise resource planning; Human voice; Linear predictive coding; Neural engineering; Testing; USA Councils; N2; auditory; brain computer interface; late positive component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4244-2072-8
  • Electronic_ISBN
    978-1-4244-2073-5
  • Type

    conf

  • DOI
    10.1109/NER.2009.5109331
  • Filename
    5109331