Browsing by Subject "Machine learning"
Now showing items 21-23 of 23
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Tactile Demographics: Predicting Demographic Information Using Touch Data from Mobile Devices
(East Carolina University, 2021-04-20)The research conducted in this thesis was to serve as a baseline on which human demographics are most likely to be able to be predicted through touch screen interactions. In addition, it served as a way of finding which ... -
Using Synchronized Audio Mapping to Predict Velar and Pharyngeal Wall Locations during Dynamic MRI Sequences
(East Carolina University, 2013)Automatic tongue, velum (i.e., soft palate), and pharyngeal movement tracking systems provide a significant benefit for the analysis of dynamic speech movements. Studies have been conducted using ultrasound, x-ray, and ... -
Utilizing Brain Activity to Non-Invasively Predict Blood Glucose Levels
(East Carolina University, 2016-12-16)Diabetes Mellitus is a chronic condition that must be routinely self-monitored to prevent life threatening complications, diabetic coma, and to mitigate long-term complications, such as neuropathy and kidney failure. Despite ...