Accession Number:

ADA614892

Title:

Entity Recognition Via Multimodal Sensor Fusion With Smart Phones

Descriptive Note:

Master's thesis

Corporate Author:

AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT

Personal Author(s):

Report Date:

2015-03-26

Pagination or Media Count:

122.0

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 classi cation, 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.

Subject Categories:

  • Cybernetics
  • Miscellaneous Detection and Detectors
  • Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE