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A Conceptual Framework for Aging Diagnosis Using IoT Devices
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  • Journal title : Journal of KIISE
  • Volume 42, Issue 12,  2015, pp.1575-1583
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2015.42.12.1575
 Title & Authors
A Conceptual Framework for Aging Diagnosis Using IoT Devices
Lee, Jae Yoo; Park, Jin Cheul; Kim, Soo Dong;
 
 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.
 Keywords
Internet of Things;Health Context;Aging Diagnosis;Variability;Dynamic Adaptation;
 Language
Korean
 Cited by
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