Paper Info
Title
A Preliminary Study for Qantitative Assessment of Life Rhythm Based on Sleeping and Eating Log Data.
Abstract
It is known that the disturbance of daily life rhythm leads to chronic disease. Hence, it is important for everyone to keep a healthy rhythm. Owing to emerging technologies of smart phones and IoT, many studies and products recognizing personal daily activities exist. However, there is few research to evaluate if the life rhythm, characterized by the daily activities, is good or bad for the person. As a result, it is hard for individuals to understand what to be their own healthy life rhythms, and how to improve the current situation. To cope with the problem, we are developing a system that quantitatively assesses user's life rhythm based on the daily activity log and the self-assessment of QoL (Quality of Life). In this paper, we present a method of measuring user's life rhythm by analyzing sleep and eating log data. We then construct a personalized quantitative assessment model of life rhythm using regression analysis. We conduct a preliminary experiment in an actual apartment. Based on the derived model, we find personalized advice on daily activities to maintain healthy life rhythm of the resident.
Year
DOI
Venue
2018
10.1145/3282373.3282413
iiWAS
Keywords
Field
DocType
Assessment Model of Life Rhythm, Daily Activities, Data Mining, Life Rhythms
Activities of daily living,Quality of life,Computer science,Regression analysis,Internet of Things,Emerging technologies,Quantitative assessment,Chronic disease,Rhythm,Database,Applied psychology
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Long Niu100.34
Sachio Saiki25524.46
Masahide Nakamura352672.51