Title
Learning off-line vs. on-line models of interactive multimodal behaviors with recurrent neural networks.
Abstract
•Training behavioral models for task-oriented face-to-face interactions.•Evaluation of LSTM RNN against statistical methods.•Comparison between off-line vs. on-line predictions.•Extends experiments previously published in Pattern Recognition Letter (Mihoub et al., 2016).
Year
DOI
Venue
2017
10.1016/j.patrec.2017.09.033
Pattern Recognition Letters
Keywords
Field
DocType
Face-to-face interaction,Multimodal behavior,Co-verbal behavior,Behavioral models,Multi-task RNN,LSTM,Bi-directional LSTM
Off line,Gaze,Gesture,Behavioral modeling,Recurrent neural network,Artificial intelligence,Hidden Markov model,Mathematics,Face-to-face interaction,Dynamic Bayesian network
Journal
Volume
Issue
ISSN
100
C
0167-8655
Citations 
PageRank 
References 
1
0.35
18
Authors
3
Name
Order
Citations
PageRank
Duc Canh Nguyen121.05
Gérard Bailly260999.37
Frédéric Elisei327525.05