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Author:

Gardner, Kevin

Title:

Efficient and Accurate Motion Tracking and its Applications within the Internet of Things Design Space

Area of Honors:

Computer Engineering

Keywords:

ASL
ASLLVD
CNN
HRI
IMU
LSTM
Monocular RGB
RGB-D
RNN
American Sign Language
American Sign Language Large Video Dataset
Convolutional Neural Network
Human Robot Interaction
Inertial Measurement Unit
Long Short-Term Memory RNN
Recurrent Neural Network

File:

Download Thesis_Final_Draft.pdf

Thesis Supervisors:

Mahanth Gowda, Thesis Supervisor
John Morgan Sampson, Thesis Honors Advisor