Before revision:  The translation module is implemented using CNN-RNN, Conv3D, and a modified GRU based model that uses pre-trained embedding rich in head pose features . The performances of these models were evaluated under four different scenarioson a dataset of 2234 video sequences collected from 22 users .
After revision:  The translation module is implemented using CNN-RNN, Conv3D, and a modified GRU based model that uses pre-trained embedding rich in head pose features was employed to translate the recordings into cluster sequences. The model achieved an accuracy of 96.78\% and 86.81\% under intra- and inter-user scenarios, respectively, over a dataset of 2234 video sequences collected from 22 users .