Convolutional and Recurrent Neural Network for Human Action Recognition: application on American Sign Language
V. Hernandez, T. Suzuki, G. Venture
This paper applies ConvNet-LSTM to classify American Sign Language signs using LeapMotion data, achieving 89.3% accuracy with data augmentation.
bioRxiv · Jan 30, 2019 · PreprintBioengineering