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빅데이터 기반의 장애 학생을 위한 스마트 캠퍼스

Big Data based on Smart Campus for Students with Disabilities

  • Oh, Young-Hwan (Division of Information and Technology Convergence, Korea Nazarene Univ.)
  • 투고 : 2018.07.02
  • 심사 : 2018.10.15
  • 발행 : 2018.10.31

초록

최근에 의료, 군사, 스포츠 등의 다양한 분야에서 사물인터넷(IoT)와 빅데이터가 활용되고 있다. 나사렛대학교는 여러 형태의 장애 등급과 장애 유형을 가지고 있는 약 300여명의 장애학생이 있는 재활복지 중심대학이다. 본 논문은 캠퍼스 내에서 장애 학생들이 실내와 실외를 이동할 시에 BLE비콘과 3축 가속도 센서를 이용하여 이동경로 산정과 위험상황 회피를 위한 최적의 경로를 제공하는 스마트 캠퍼스를 제안한다. 이를 위하여 센서기반 IoT 기술을 이용한 장애학생 보행 데이터를 빅데이터로 관리한다.

Recently, Internet (IoT) and big data have been utilized in various fields such as medical, military and sports. Korea Nazarene University is a rehabilitation-welfare university with about 300 students with disabilities. This paper proposes a smart campus that provides the optimal path for the calculation of the route and risk avoidance using the BLE beacon and the 3-axis acceleration sensor when the students with disabilities move in the campus both indoors and outdoors. So we can manage the big data and sensor-based IoT technology for students with disabilities.

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참고문헌

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