Hands free : a wearable in-air gesture recognition system
Name
1014181181-MIT.pdf
Description
Full printable version
Size
3.24 MB
Format
Adobe PDF
Checksum (MD5)
43d1310fc04ae86c29e34ba86b4494f2
Author(s)
Chang, Matthew (Matthew J.)
Advisor(s)
Chris Schmandt.
Alternative Title
Wearable in-air gesture recognition system
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis I present my work in developing a wearable gesture interface for mobile devices with limited sensing capabilites. The proposed method utilizes a novel form of color invariant processing to augment traditional convolutional neural networks for gesture recognition. This techniques allows the system to perform color invariant recognition avoiding traditional issues with hand segmentation. Using this method several demo applications were prototyped on a mobile phone platform to test its real-time efficacy. Through a preliminary user study we confirmed that this method allows static gesture recognition in a wide variety of mobile scenarios.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 38-39).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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