Title :
Feature extraction method of EEG waves under visual recognition task
Author :
Inoue, Katsuhiro ; Kumamaru, Kousuke ; Yano, Ryuji ; Hayashi, Akiko ; Yamauchi, Akira ; Matsuoka, Shigeaki
Author_Institution :
Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
In this paper, the feature extraction method of ERP (event-related potential) under the visual recognition task was investigated. First, visual oddball experiments were executed. We examined the obtained response EEG about the amplitude characteristic, frequency characteristic, and pattern recognition based on the AR model. It is confirmed that our method was effective and optimal locations of the electrode were occipital by the experiment.
Keywords :
Fourier transforms; autoregressive processes; bioelectric potentials; electroencephalography; feature extraction; vision; AR model; EEG waves; Fourier transform; amplitude characteristic; event related potential; feature extraction; frequency characteristic; human interface; visual recognition task; Brain modeling; Electrodes; Electroencephalography; Enterprise resource planning; Feature extraction; Frequency; Humans; Man machine systems; Pattern recognition; Scalp;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195233
