A Theory-based Model of Cumulative Activity
| dc.contributor.advisor | Stanley, Kevin | |
| dc.contributor.committeeMember | Lanovaz, Joel | |
| dc.contributor.committeeMember | Eager, Derek | |
| dc.contributor.committeeMember | Mondal, Debajyoti | |
| dc.creator | Phillips, Kole | |
| dc.creator.orcid | 0000-0002-5041-8224 | |
| dc.date.accessioned | 2022-08-12T14:39:59Z | |
| dc.date.available | 2022-08-12T14:39:59Z | |
| dc.date.copyright | 2022 | |
| dc.date.created | 2022-08 | |
| dc.date.issued | 2022-08-12 | |
| dc.date.submitted | August 2022 | |
| dc.date.updated | 2022-08-12T14:39:59Z | |
| dc.description.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. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | https://hdl.handle.net/10388/14093 | |
| dc.language.iso | en | |
| dc.subject | accelerometers | |
| dc.subject | exponential distributions | |
| dc.subject | physical activity | |
| dc.title | A Theory-based Model of Cumulative Activity | |
| dc.type | Thesis | |
| dc.type.material | text | |
| thesis.degree.department | Computer Science | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | University of Saskatchewan | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.Sc.) |