Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection

Article

Abstract: Recurrent Neural Networks (RNNs) and their variants have been demonstrated tremendous successes in m

Palabras claves:

bidirectional-gated recurrent unit (Bi-GRU), convolution neural networks (CNNs), deep learning, Human activity recognition, recurrent neural networks (RNNs)

Autores:

Ahmad T., Alwageed H.S., Jinsong Wu, Khan F., Khan J., Lee Y.

Fuentes:

scopus