Abstract
Automatic facial expression recognition is widely
used for various applications such as health care, surveillance
and human-robot interaction. In this paper, we present a novel
system which employs automatic facial emotion recognition
technique for adaptive AI agent behaviour. The proposed
system is equipped with kirsch operator based local binary
patterns for feature extraction and diverse classifiers for
emotion recognition. First, we nominate a novel variant of the
local binary pattern (LBP) for feature extraction to deal with
illumination changes, scaling and rotation variations. The
features extracted are then used as input to the classifier for
recognizing seven emotions. The detected emotion is then used
to enhance the behaviour selection of the artificial intelligence
(AI) agents in a shooter game. The proposed system is
evaluated with multiple facial expression datasets and
outperformed other state-of-the-art models by a significant
margin.
used for various applications such as health care, surveillance
and human-robot interaction. In this paper, we present a novel
system which employs automatic facial emotion recognition
technique for adaptive AI agent behaviour. The proposed
system is equipped with kirsch operator based local binary
patterns for feature extraction and diverse classifiers for
emotion recognition. First, we nominate a novel variant of the
local binary pattern (LBP) for feature extraction to deal with
illumination changes, scaling and rotation variations. The
features extracted are then used as input to the classifier for
recognizing seven emotions. The detected emotion is then used
to enhance the behaviour selection of the artificial intelligence
(AI) agents in a shooter game. The proposed system is
evaluated with multiple facial expression datasets and
outperformed other state-of-the-art models by a significant
margin.
| Original language | English |
|---|---|
| Publication status | Accepted/In press - 15 Mar 2018 |
| Event | International Joint Conference on Neural Networks (IJCNN) under IEEE World Congress on Computational Intelligence (WCCI 2018) - Rio de Janerio, Brazil Duration: 8 Jul 2018 → 13 Jul 2018 http://www.ecomp.poli.br/~wcci2018/ |
Conference
| Conference | International Joint Conference on Neural Networks (IJCNN) under IEEE World Congress on Computational Intelligence (WCCI 2018) |
|---|---|
| Abbreviated title | IJCNN-WCCI-2018 |
| Country/Territory | Brazil |
| City | Rio de Janerio |
| Period | 8/07/18 → 13/07/18 |
| Internet address |