Lack of knowledge matching algorithms using distance measurements on brainwave features

2017 1st International Conference on Engineering and Applied Technology

Azhari, A.^1 ; Ismi, D.P.^1

Informatics Department, Universitas Ahmad Dahlan, Yogyakarta, Indonesia^1

关键词: Electrical force;    Human activities;    Human perception;    Knowledge matching;    Matching algorithm;    Optimal results;    Psychological characteristics;    Standard deviation;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/403/1/012080/pdf
DOI  :  10.1088/1757-899X/403/1/012080

来源: IOP

【 摘 要 】

All human activities are controlled centrally through the brain. The brain produces electrical forces that transmit information between neurons that are represented in wave form. Brainwaves can be used as a medium for identifying and authenticating users because individual brain waves are different and have distinctive characteristics. Characteristics of brainwaves can be triggered using a pattern that is protruding and constant. The application of cognitive tasks developed based on the incorporation of human perceptions and psychological characteristics can serve as a stimulus. Feature extraction is done by applying statistics in the form of mean value, standard deviation, skewness, kurtosis, and entropy. These features are analyzed and compared using a distance measurement matching algorithm. The results obtained from this test indicate that the Minkowski algorithm is capable of providing optimal results in data matching.