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Engineering Applications of Artificial Intelligence
Brain signal recognition and conversion towards symbiosis with ambulatory humanoids
BI'10 Proceedings of the 2010 international conference on Brain informatics
Evaluation of Brain Waves as Biometrics for Driver Authentication Using Simplified Driving Simulator
ICBAKE '11 Proceedings of the 2011 International Conference on Biometrics and Kansei Engineering
Continuous Authentication Using Biometrics: Data, Models, and Metrics
Continuous Authentication Using Biometrics: Data, Models, and Metrics
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A new approach to continuous authentication is presented. The method is based on a combination of statistical decision machines for brain signals. Functional Near InfraRed Spectroscopy (NIRS) is used to measure brain oxyhemoglobin changes for each subject to be authenticated. Such biosignal authentication is expected to be a viable complementary method to traditional static security systems. The designed system is based on a discriminant function which utilizes the average weight vector of one-versus-one support vector machines for NIRS spectra. By computing a histogram of Mahalanobis distances, high separability among subjects was recognized. This experimental result guarantees the utility of brain NIRS signals to the continuous authentication.