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
Link To Document :
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