Date of Award:
12-2012
Document Type:
Dissertation
Degree Name:
Doctor of Philosophy (PhD)
Department:
Mathematics and Statistics
Committee Chair(s)
Jürgen Symanzik
Committee
Jürgen Symanzik
Committee
Piotr S. Kokoszka
Committee
Daniel C. Coster
Committee
Christopher D. Corcoran
Committee
Yanghee Kim
Abstract
Actigraphy, a technology for measuring a subject's overall activity level almost continuously over time, has gained a lot of momentum over the last few years. An actigraph, a watch-like device that can be attached to the wrist or ankle of a subject, uses an accelerometer to measure human movement every minute or even every 15 seconds. Actigraphy data is often treated as functional data. In this dissertation, we discuss what has been done regarding the visualization of actigraphy data, and then we will explain the three main goals we achieved: (i) develop new multivariate visualization techniques for actigraphy data; (ii) integrate the new and current visualization tools into an R package using object-oriented model design; and (iii) develop an adaptive user-friendly web interface for actigraphy software.
Checksum
3c5e195c0625e44322113bf2f7863889
Recommended Citation
Sharif, Abbass, "Visual Data Mining Techniques for Functional Actigraphy Data: An Object-Oriented Approach in R" (2012). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 1394.
https://digitalcommons.usu.edu/etd/1394
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Comments
This work made publicly available electronically on December 21, 2012.