TY - GEN
T1 - Method for detecting music to match the user's mood in prefrontal cortex electroencephalogram activity based on individual characteristics
AU - Ito, Shin Ichi
AU - Mitsukura, Yasue
AU - Fukumi, Minoru
AU - Cao, Jianting
PY - 2007
Y1 - 2007
N2 - In this paper, we propose a method for detecting the music to match a user's mood in prefrontal cortex electroencephalogram (EEG) activity. The EEG frequencies analyzed are the components that contain significant and immaterial information. We focused on the combinations of the significant frequency. These frequency combinations are thought to express individual characteristics of EEG activity. In the proposed method, we calculate the percentage of the spectrum of these frequency combinations that does not include the noise frequency components and evaluates whether the music matches the user's mood through a simple threshold processing. Then, a genetic algorithm (GA) is used to specify the frequency of individual characteristics on the EEG. Threshold values that used the threshold processing is determined in the GA. Finally, the performance of the proposed method is evaluated using real EEG data.
AB - In this paper, we propose a method for detecting the music to match a user's mood in prefrontal cortex electroencephalogram (EEG) activity. The EEG frequencies analyzed are the components that contain significant and immaterial information. We focused on the combinations of the significant frequency. These frequency combinations are thought to express individual characteristics of EEG activity. In the proposed method, we calculate the percentage of the spectrum of these frequency combinations that does not include the noise frequency components and evaluates whether the music matches the user's mood through a simple threshold processing. Then, a genetic algorithm (GA) is used to specify the frequency of individual characteristics on the EEG. Threshold values that used the threshold processing is determined in the GA. Finally, the performance of the proposed method is evaluated using real EEG data.
UR - http://www.scopus.com/inward/record.url?scp=40949119809&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=40949119809&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2007.4413830
DO - 10.1109/ICSMC.2007.4413830
M3 - Conference contribution
AN - SCOPUS:40949119809
SN - 1424409918
SN - 9781424409914
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 2640
EP - 2644
BT - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
T2 - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Y2 - 7 October 2007 through 10 October 2007
ER -