Click-based ultrasonic gesture recognition
Name
1192966483-MIT.pdf
Size
2.87 MB
Format
Adobe PDF
Checksum (MD5)
62fdf9e474ffb335c47b29863a0230a6
Author(s)
Oluwatosin Olabinjo, Temitope(Temitope Tosin Oluwatosin Olabinjo)
Advisor(s)
Dennis M. Freeman and Nathan Blagrove.
Date Issued
2020
Publisher
Massachusetts Institute of Technology
Abstract
To maximize the potential of future human-computer interaction, advancements in the methods by which people interface with computers must be made. This study aims to establish the foundation for a new, contactless method of input powered by ultrasonic echolocation. The project consists of three main sub-studies; one short COMSOL study, and two rounds of data collection at different levels of detail. We built and analyzed COMSOL models in order to gain an initial sense of the feasibility of ultrasonic gesture recognition. The detailed data collection trials demonstrated a clear correlation between ultrasonic echoes and motion. During the rough data collection trials, we laid the groundwork for future endeavors which aim to use machine learning to build ultrasonic gesture recognition systems. Analysis of the data gained from the rough data collection trials made the preliminary conclusions of the detailed data collection trials more concrete..
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (page 63).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
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