Electroencephalogram Based Brain Concentration and Its Human Computer Interface Application
被引:0
作者:
Xiao, Di
论文数: 0引用数: 0
h-index: 0
机构:
Southeast Univ, Sch Informat Sci & Technol, Nanjing, Jiangsu, Peoples R ChinaSoutheast Univ, Sch Informat Sci & Technol, Nanjing, Jiangsu, Peoples R China
Xiao, Di
[1
]
Zhang, Wentao
论文数: 0引用数: 0
h-index: 0
机构:
Southeast Univ, Sch Comp Sci & Technol, Nanjing, Jiangsu, Peoples R ChinaSoutheast Univ, Sch Informat Sci & Technol, Nanjing, Jiangsu, Peoples R China
Zhang, Wentao
[2
]
机构:
[1] Southeast Univ, Sch Informat Sci & Technol, Nanjing, Jiangsu, Peoples R China
[2] Southeast Univ, Sch Comp Sci & Technol, Nanjing, Jiangsu, Peoples R China
来源:
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC)
|
2015年
关键词:
Electroencephalogram (EEG) Signal;
Focus Value;
Concentration Degree;
Human Computer Interface;
Frequency Band;
D O I:
暂无
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
Electroencephalogram (EEG) signal has been studied as a biological signal input for human-computer interaction. This research defines a control signal-focus value R to measure the concentration degree of human brain. According to frequency band, human brain waves have been classified to, such as alpha wave, beta wave, theta wave, delta wave. The focus value R is the ratio of beta wave's and theta wave's total power on frequency domain. The research then attests to the reasonable representing of brain concentration with R. To conclude, the research utilizes the self-controlled brain concentration degrees (the levels an individual can pay attention) into a human-computer interface application (HCI) like music control, which can be used for the disabled like Parkinson's disease patients to change music volume and switch as they like.