Date of Award


Document Type


Degree Name

Master of Science (MS)

Legacy Department

Electrical Engineering

Committee Chair/Advisor

Hoover, Adam W

Committee Member

Muth , Eric R

Committee Member

Groff , Richard E


Motivated by the goal of building a device capable of detecting when a user takes a bite of food, we examine whether there is a correlation between linear wrist motion and bite detection. Such a device could be used to manage weight loss by tracking eating trends over time and providing real time feedback to the user regarding eating rate or total consumption. A comprehensive analysis of tracking linear motion using low cost inertial sensors is presented. Based on this theory, we discuss the design and tracking accuracy of a prototype bite counting device. We show that tracking position using low cost, off-the-shelf inertial sensors is impractical over any sustained period of time. However, by detecting peaks in acceleration data we are able to look for a characteristic motion during eating. We recorded data from subjects eating a meal while wearing the device. Their wrist motions were analyzed in an attempt to identify a characteristic linear motion of the wrist that corresponds to the taking of a bite of food. Our results show that there is too much variability in motion during eating to detect bites of food based on acceleration peaks alone.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.