Date of Award
2018
Degree Type
Dissertation
Degree Name
Doctor of Engineering
Department
Washkewicz College of Engineering
First Advisor
Zhao, Wenbing
Subject Headings
Human motion tracking, Kinect sensor, rule-based algorithm, real-time feedback
Abstract
The objective of this dissertation research is to use Kinect sensor, a motion sensing input device, to develop an integrated software system that can be used for tracking non-compliant activity postures of consented health-care workers for assisting the workers' compliance to best practices, allowing individualized gestures for privacy-aware user registration, movement recognition using rule-based algorithm, real-time feedback, and exercises data collection. The research work also includes developing a graphical user interface and data visualization program for illustrating statistical information for administrator, as well as utilizing cloud based database system used for data resource.
Recommended Citation
Lun, Roanna, "Human Activity Tracking and Recognition Using Kinect Sensor" (2018). ETD Archive. 1039.
https://engagedscholarship.csuohio.edu/etdarchive/1039