A study on the quality of life improvement in fixed IoT environments: Utilizing active aging biomarkers and big data

Abstract

Purpose: Aim of this study is to suggest a framework that can measure and assess Quality of Life (QoL) of elderly people objectively, by measuring their active aging status through biomarker sensors under a Fixed Internet of Things (IoT) and Building Information Modeling (BIM) technology environment. Methodology/Approach: An objective QoL measurement & assessment framework that can replace previous subjective QoL measurements. Findings: In this study, we mapped and suggested the active aging measures and corresponding biomarker sensors to derive an objective Healthcare Related Quality of Life (HRQOL) composite index so that we can replace HRQOL subjective question value. We also configured an environment to objectively measure, transfer, and store biomarker sensor values using Fixed IoT and BIM. Research Limitation/implication: We conducted a preliminary study on establishing the relationship between the existing HRQOL survey and active-aging biomarker measurements. Moreover, the research subjects were limited to being individual elderly residents of a nursing home. Originality/Value of paper: This study is meaningful in that it suggests a method of replacing the conventional QoL survey with objective QoL measurements through IoT sensors. Furthermore, we consider the surrounding living environment that might greatly affect the QoL of individuals. Category: Research paper.