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

• Published in: 2013 IEEE International Conference on Systems, Man, and Cybernetics pp. 3396 - 3401
• Main Authors: Touyama, Hideaki, Maeda, Kazuya
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2013
• Subjects: Ambulatory Brain-Computer Interface (BCI); Educational institutions; Electrodes; ElectroEncephaloGram (EEG); Electroencephalography; Feature extraction; Indexing; Legged locomotion; Lifelog; Outdoor; P300; Testing; Wearable
• ISSN: 1062-922X; 2577-1655
• DOI: 10.1109/SMC.2013.579

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.