2019
Sign Language Detection "in the Wild" with Recurrent Neural Networks
ICASSP 2019accepted
We propose a multi-layer RNN for sign language detection. The system uses features extracted automatically from a 2-stream convolutional neural network (CNN) that takes video image data and motion data as input. We also created a dataset of videos containing signing "in the wild" to be used for trai…