A Comparison of Neural Networks for Sign Language Recognition with LSA64

Conference paper

We evaluate three models built on standard recurrent and convolutional neural network layers on LSA64. Coupled with carefully chosen hyperparameters and preprocessing techniques, these models are all able to achieve near perfect accuracy on LSA64, surpassing all previous models, many specifically designed for this task.