A Hybrid Deep Learning Framework using CNN and GRU-based RNN for Recognition of Pairwise Similar Activities

A challenging task in human activity recognition is to classify very naturally similar activities. In this paper, we introduce a unified deep learning model working as a hybrid framework of Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) modules to solve the problem of recognizi…