DocumentCode :
3150006
Title :
An Alpha-wave-based binaural beat sound control system using fuzzy logic and autoregressive forecasting model
Author :
Settapat, Sittapong ; Ohkura, Michiko
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Shibaura Inst. of Technol., Tokyo
fYear :
2008
fDate :
20-22 Aug. 2008
Firstpage :
109
Lastpage :
114
Abstract :
We are developing a new real-time control system for customizing auditory stimulus (the binaural beat sound) by judging user alpha waves to entrain a userpsilas feeling in the most relaxed way. Since brainwave activity provides the necessary predictive information for arousal states, we use an autoregressive forecasting model to estimate the frequency response series of the alpha frequency bands and the inverted-U concept to determine the userpsilas arousal state. A fuzzy logic controller is also employed to regulate the binaural beat control signal on a forecasting error signal. Our system allows comfortable user self-relaxation. The results of experiments confirm the constructed systempsilas effectiveness and necessity.
Keywords :
autoregressive processes; bioelectric phenomena; electroencephalography; error statistics; frequency estimation; frequency response; fuzzy control; hearing; medical control systems; medical signal processing; neurophysiology; EEG; alpha-wave-based binaural beat sound control system; auditory stimulus; autoregressive forecasting model; brain wave activity; comfortable user self-relaxation; error statistics; frequency response series estimation; fuzzy logic controller; inverted-U concept; real-time control system; user arousal state; Brain modeling; Control system synthesis; Control systems; Error correction; Frequency estimation; Frequency response; Fuzzy logic; Predictive models; Real time systems; State estimation; Alpha Wave; Autoregressive Model; Binaural Beat; Fuzzy Logic; biofeedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
Type :
conf
DOI :
10.1109/SICE.2008.4654631
Filename :
4654631
Link To Document :
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