Date of Award
3-2022
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Systems Engineering and Management
First Advisor
Alfred E. Thal, Jr., PhD
Abstract
The purpose of this research is to explore the utility and current state of touchless technologies. Five categories of technologies are identified as a result of collecting and reviewing literature: facial/biometric recognition, gesture recognition, touchless sensing, personal devices, and voice recognition. A thematic analysis was conducted to evaluate the advantages and disadvantages of the five categories. A reference analysis was also conducted to determine the similarities between articles in each category. Touchless sensing showed to have the most advantages and least similar references. Gesture recognition was the opposite. Comparing analyses shows more reliable technology types are more beneficial and diverse.
AFIT Designator
AFIT-ENV-MS-22-M-190
DTIC Accession Number
AD1173349
Recommended Citation
Curia, Eric R., "A Thematic and Reference Analysis of Touchless Technologies" (2022). Theses and Dissertations. 5386.
https://scholar.afit.edu/etd/5386
Included in
Graphics and Human Computer Interfaces Commons, Other Civil and Environmental Engineering Commons, Systems Engineering Commons