Computer Engineering Commons^™

Leveraging Eye Structure And Motion To Build A Low-Power Wearable Gaze Tracking System, Addison Mayberry

Doctoral Dissertations

Clinical studies have shown that features of a person's eyes can function as an effective proxy for cognitive state and neurological function. Technological advances in recent decades have allowed us to deepen this understanding and discover that the actions of the eyes are in fact very tightly coupled to the operation of the brain. Researchers have used camera-based eye monitoring technology to exploit this connection and analyze mental state across across many different metrics of interest. These range from simple things like attention and scene processing, to impairments such as a fatigue or substance use, and even significant mental disorders …

An Iot System For Converting Handwritten Text To Editable Format Via Gesture Recognition, Nidhi Patel

Master of Science in Computer Science Theses

Evaluation of traditional classroom has led to electronic classroom i.e. e-learning. Growth of traditional classroom doesn’t stop at e-learning or distance learning. Next step to electronic classroom is a smart classroom. Most popular features of electronic classroom is capturing video/photos of lecture content and extracting handwriting for note-taking. Numerous techniques have been implemented in order to extract handwriting from video/photo of the lecture but still the deficiency of few techniques can be resolved, and which can turn electronic classroom into smart classroom.

In this thesis, we present a real-time IoT system to convert handwritten text into editable format by implementing …

Senior Project: Control System For An Underwater Remotely Operated Vehicle, Tyler Mau, Joseph Mahoney

Computer Engineering

No abstract provided.

Pet Food Monitor Using The Raspberry Pi, Kimberly Aguero

Computer Engineering

Computer system built on a Raspberry Pi that will monitor the levels of food in a pet food bowl. If it detects that there is no food in the bowl, it will notify the user via email or text.

A Discriminative Imaging-Based Framework For Road Sign Condition Assessment Using Local Features And Svm Classifiers, Jafar Jameel Abukhait

Dissertations

Transportation departments are required to monitor the condition of road signs through appropriate condition assessment mechanisms to improve road safety and keep drivers properly informed. Typically, these mechanisms include visual inspection or specialized equipment such as retroreflectometers. These methods are costly, tedious, and risky since they need direct contact with road signs. Efforts to use emerging computer vision techniques for the assessment of road signs condition combined with the availability of road data inventories are allowing the automation of these processes, thus easing the inspection process, reducing costs of equipment, and decreasing the risks associated with the need for maintenance …