Journal of KIISE (정보과학회 논문지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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A Conceptual Framework for Aging Diagnosis Using IoT Devices

IoT 디바이스 기반 노화진단을 위한 개념적 프레임워크

  • Received : 2015.07.31
  • Accepted : 2015.10.09
  • Published : 2015.12.15
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Abstract

With the emergence of Internet-of-Things (IoT) computing, it has become possible to acquire users' health-related contexts from various IoT devices and to diagnose their biological aging through analysis of the IoT health contexts. However, previous work on methods of aging diagnosis used a fixed list of aging diagnosis factors, making it difficult to handle the variability of users' IoT health contexts and to dynamically adapt the addition and deletion of aging diagnosis factors. This paper proposes a design and methods for a dynamically adaptable aging diagnosis framework that acquires a set of IoT health contexts from various IoT devices based on a set of aging diagnosis factors of the user. By using the proposed aging diagnosis framework, aging diagnosis methods can be applied without considering the variability of IoT health contexts and aging diagnosis factors can be dynamically added and deleted.

사물인터넷 컴퓨팅의 등장으로 다양한 사물인터넷 디바이스를 통해 사용자에 대한 건강 컨텍스트의 수집과 수집된 건강 컨텍스트를 분석하여 노화진단이 가능해졌다. 하지만, 기존의 노화진단 기법들은 서로 다른 고정된 노화진단요소들을 사용하여 사용자에 따라 획득 가능한 건강 컨텍스트의 가변성을 고려하지 않아서 새로운 노화진단요소의 추가 및 삭제에 대해 동적 대응이 힘들다. 본 논문에서는 다양한 사물인터넷 디바이스를 기반으로 노화진단에 필요한 다양한 노화진단 요소를 수집하고, 사용자마다 가변적인 노화진단 요소의 구성에 따라 동적으로 적응 가능한 노화진단 프레임워크의 기법 및 설계를 제안한다. 제안된 노화진단 프레임워크를 이용하면 획득 가능한 건강 컨텍스트의 가변성과 관계없이 노화진단기법의 적용이 가능하며, 노화진단 요소의 동적 추가 및 삭제가 가능하다.

Keywords

Acknowledgement

Supported by : 한국연구재단

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