Person Identification and Authentication with Short-time measured Electroencephalography

electroencephalography;biometrics;personal recognition;660

공과대학 협동과정 바이오엔지니어링전공 ;

University:서울대학교 대학원

关键词: electroencephalography;    biometrics;    personal recognition;    660;   

Others  :  http://s-space.snu.ac.kr/bitstream/10371/122443/1/000000025249.pdf

美国|英语

来源: Seoul National University Open Repository

【 摘 要 】

therefore, correct recognition rate (CRR) is calculated for overall performance along with the precision, recall, specificity, and F-score for each subject. Consequently, for PSD and ZCOH, averages of 81.35% and 80.04% for precision, 78.20% and 74.88% for recall, 99.04% and 98.81% for specificity, and 0.78 and 0.75 for F-score are achieved at correct recognition rates of 80.39% and 75.70%. The latter, ;;Imposter,” mode is designed with a threshold in order to consider the case of other people trying to authenticate. The threshold is selected empirically. To evaluate this mode, false acceptance rate (FAR), false rejection rate (FRR), and half of total error rate (HTER), are calculated. The lowest HTERs achieved for PSD and ZCOH are 13.55% and 19.98%, respectively. Finally, statistical analysis of ZCOH is conducted by inspecting the results of authentication tests in order to filter coherence values that guarantee stability and significance. Filtering combinations of coherence for each subject’s frequency bands is achieved by conducting analysis of variance (ANOVA) on data measured on three different days.The results confirm that reliable person identification and authentication with short-time measured EEG using the proposed simple method can be practically adopted and utilized in various applications.