Date of Award
3-26-2015
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
Kenneth M. Hopkinson, PhD.
Abstract
This thesis serves as an exploration that takes the sensors within a cell phone beyond the current state of recognition activities. Current state of the art sensor recognition processes tend to focus on recognizing user activity. Utilizing the same sensors available for user activity classification, this thesis validates the ability to gather data about entities separate from the user carrying the smart phone. With the ability to sense entities, the ability to recognize and classify a multitude of items, situations, and phenomena opens a new realm of possibilities for how devices perceive and react to their environment.
AFIT Designator
AFIT-ENG-MS-15-M-023
DTIC Accession Number
ADA614892
Recommended Citation
Nagy, John E., "Entity Recognition via Multimodal Sensor Fusion with Smart Phones" (2015). Theses and Dissertations. 46.
https://scholar.afit.edu/etd/46