CONTEXT MANAGEMENT: TOWARD ASSESSING QUALITY OF CONTEXT PARAMETERS IN A UBIQUITOUS AMBIENT ASSISTED LIVING ENVIRONMENT

This paper provides an approach to assessing Quality of Context (QoC) parameters in a ubiquitous Ambient Assisted Living (AAL) environment. Initially, the study presents a literature review on QoC, generating taxonomy. Then it introduces the context management architecture used. The proposal is verified with the Siafu simulator in an AAL scenario where the user’s health is monitored with information about blood pressure, heart rate and body temperature. Considering some parameters, the proposed QoC assessment allows verifying the extent to which the context information is up-to-date, valid, accurate, complete and significant. The implementation of this proposal might mean a big social impact and a technological innovation applied to AAL, at the disposal and support of a significant number of individuals such as elderly or sick people, and with a more precise technology.

本文提出一种面向普适老年辅助生活（Ambient Assisted Living, AAL）环境的上下文质量（Quality of Context, QoC）参数评估方法。本研究首先梳理了上下文质量领域的相关文献并构建分类体系，随后介绍了所采用的上下文管理架构。所提方法通过Siafu模拟器在老年辅助生活场景中完成验证，该场景以血压、心率与体温信息对使用者的健康状况进行监测。基于预设评估参数，本文提出的上下文质量评估方法可验证上下文信息在时效性、有效性、准确性、完整性与重要性维度上的表现程度。本方案的实施将产生显著的社会影响，并成为一项应用于老年辅助生活领域的技术创新，可依托更为精准的技术，为老年群体、病患群体等大量人群提供服务与支撑。