Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Implementation of Automatic Authentication System using ECG Sensor based on Beacon

비콘 기반의 심전도 센서를 이용한 자동 인증 시스템 구현

  • 이재규 (동국대학교 테크노경영협동과정) ;
  • 김의창 (동국대학교 경영학부)
  • Received : 2017.03.23
  • Accepted : 2017.05.20
  • Published : 2017.05.28
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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.

센서 네트워크와 IoT(Internet of Things)기술의 발달로, 개인의 상황정보를 수집하여 관련된 사용자들에게 맞춤화된 서비스의 제공이 가능해졌다. 현재, 상황정보 시스템은 사용자 특정 행동 특성을 분석하여 인지하고, 이벤트를 생성하는 수준에 있다. IoT 환경에서는 사람이 특정 목적을 갖고 행동하는 것이 아니라 의도하지 않아도 필요한 서비스를 사용자의 개입이 최소화되어 IoT 제품 스스로가 제공해주어야 한다. 본 논문에서는 IoT환경에서 사용자의 개입을 최소화하기 위해 비콘 기반에서 ECG를 이용해 상황정보를 이용한 자동출결 인지시스템을 구현했다. 특정 상황정보가 필요한 환경에서, 기존의 인증기법과 본 논문에서 제시한 ECG 센서를 이용한 인증 기법의 사용자 개입성을 비교 분석하였다. 분석 결과, 본 논문에서 구현한 시스템이 사용자의 개입을 최소화한다는 것을 확인했다.

Keywords

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