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http://dx.doi.org/10.14400/JDC.2017.15.5.217

Implementation of Automatic Authentication System using ECG Sensor based on Beacon  

Lee, Jae-Kyu (Dongguk University, Dept. of Technology & Management)
Kim, Yei-Chang (Dongguk University, Dept. of Management)
Publication Information
Journal of Digital Convergence / v.15, no.5, 2017 , pp. 217-223 More about this Journal
Abstract
With the development of sensor networks and Internet of Things (IoT) technology, personalized context information has been collected and customized services can be provided to related users. Currently, the context information system is at the level of analyzing and recognizing user specific behavioral characteristics and generating events.In the IoT environment, IoT products themselves should provide the required services with minimal user intervention, rather than acting for a specific purpose. In this paper, to minimize the user intervention in the IoT environment, we implemented an automatic attendance recognition system using context information from the ECG based on beacon. Environment of provided specific Context information, we compared and analyzed the degree of user intervention among the authentication method using ECG sensor in this paper and the existing authentication method. As a result of the analysis, we confirmed that the system implemented in this paper minimizes user intervention.
Keywords
IoT; ECG; Beacon; Context Information; User authentication;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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