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Author:

Rahman, Rayhan

Title:

Continuous Sign Language Recognition Using Deep Learning Models

Area of Honors:

Computer Engineering

Keywords:

deep learning
DGS
sign language
continuous sign language recognition
LSTM
Encoder
Encoder-Decoder
RNN
CNN
WER
RWTH-PHOENIX
HMM
CTC Loss
Cross-Entropy Loss
Softmax Function
Loss Function

File:

Download Rahman_Thesis.pdf

Thesis Supervisors:

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