A Theory-based Model of Cumulative Activity
Date
2022-08-12
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
ORCID
0000-0002-5041-8224
Type
Thesis
Degree Level
Masters
Abstract
Energy expenditure can be used to examine the health of individuals and the impact of environmental
factors on physical activity. One of the more common ways to quantify energy expenditure is to process
accelerometer data into some unit of measurement for this expenditure, such as Actigraph activity counts,
and bin those measures into physical activity levels. However, accepted thresholds can vary between demographics, and some units of energy measurements do not currently have agreed upon thresholds. We present an approach which computes unique thresholds for each individual, using piecewise exponential functions to
model the characteristics of their overall physical activity patterns. Using this model, we categorize individuals into non-vigorous, consistent, moderately active, or extremely active activity classes. In the Results chapter, we demonstrate that the parameters of the model correlates with demographics like age, household size, and level of education.
Description
Keywords
accelerometers, exponential distributions, physical activity
Citation
Degree
Master of Science (M.Sc.)
Department
Computer Science
Program
Computer Science