• DocumentCode
    678040
  • Title

    Ambulatory Brain-Computer Interface in Outdoor Environment toward Indexing of Lifelog

  • Author

    Touyama, Hideaki ; Maeda, Kumiko

  • Author_Institution
    Toyama Prefectural Univ., Toyama, Japan
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    3396
  • Lastpage
    3401
  • Abstract
    Brain-Computer Interface (BCI) has been more and more investigated today by using ElectroEncephaloGram (EEG). Usually, the BCI is applied to the subjects in sitting conditions to have high quality of the EEG. Such limited condition has prevented the users to use the novel interfacing system in their ordinary lives. In this paper, toward the life log application, we developed a prototype of wearable BCI system which enables us to operate it in ambulatory condition in outdoor environment. By using the auditory stimulations in oddball paradigm, the EEG was recorded in learning phase, and the classification of P300 signals was performed in the following testing phase. The users equipped the system and walked in outdoor to make online life log indexing. As the results, in this preliminary study, it is suggested that the BCI system could successfully record the target scenes in real-time only from the user´s brain activities.
  • Keywords
    brain-computer interfaces; electroencephalography; learning (artificial intelligence); medical signal processing; signal classification; EEG; P300 signal classification; ambulatory brain-computer interface; ambulatory condition; auditory stimulations; electroencephalogram; learning phase; oddball paradigm; online lifelog indexing; ordinary lives; outdoor environment; sitting conditions; user brain activities; wearable BCI system; Educational institutions; Electrodes; Electroencephalography; Feature extraction; Indexing; Legged locomotion; Testing; Ambulatory Brain-Computer Interface (BCI); ElectroEncephaloGram (EEG); Indexing; Lifelog; Outdoor; P300; Wearable;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.579
  • Filename
    6722332