Cite Article

Multimodal Approach to Emotion Recognition for Enhancing Human Machine Interaction - A Survey

Choose citation format

BibTeX

@article{IJASEIT1662,
   author = {Veni S and Thushara S},
   title = {Multimodal Approach to Emotion Recognition for Enhancing Human Machine Interaction - A Survey},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {4},
   year = {2017},
   pages = {1428--1433},
   keywords = {emotion recognition; human-machine interaction; multimodal; speech features; facial features},
   abstract = {

Emotions are defined as a mental state that occurs instinctively rather than through voluntary effort. They are strong feelings triggered by experiencing the joy, hate, fear, love and is followed by some physiological changes. Emotions play a vital role in social interactions and facilitate the decision making and perception in human being. Emotions are conveyed through speech, facial expression or by physiological signals. There are 6 emotions which are treated as universal emotions: anger, happiness, sadness, disgust, surprise and fear. This paper projects different emotion recognition systems which aim at enhancing the Human-Machine interaction. The techniques and systems used in emotion detection may vary depending on the features inspected. This paper explores them in a descriptive and comparative manner. Further the various applications that adopt these systems to reduce the difficulties in implementing the models in real-time are contemplated. Also, A multimodal system with both speech and facial features is proposed for emotion recognition through which it is possible to obtain an enhanced accuracy compare with the existing systems.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1662},    doi = {10.18517/ijaseit.7.4.1662} }

EndNote

%A S, Veni
%A S, Thushara
%D 2017
%T Multimodal Approach to Emotion Recognition for Enhancing Human Machine Interaction - A Survey
%B 2017
%9 emotion recognition; human-machine interaction; multimodal; speech features; facial features
%! Multimodal Approach to Emotion Recognition for Enhancing Human Machine Interaction - A Survey
%K emotion recognition; human-machine interaction; multimodal; speech features; facial features
%X 

Emotions are defined as a mental state that occurs instinctively rather than through voluntary effort. They are strong feelings triggered by experiencing the joy, hate, fear, love and is followed by some physiological changes. Emotions play a vital role in social interactions and facilitate the decision making and perception in human being. Emotions are conveyed through speech, facial expression or by physiological signals. There are 6 emotions which are treated as universal emotions: anger, happiness, sadness, disgust, surprise and fear. This paper projects different emotion recognition systems which aim at enhancing the Human-Machine interaction. The techniques and systems used in emotion detection may vary depending on the features inspected. This paper explores them in a descriptive and comparative manner. Further the various applications that adopt these systems to reduce the difficulties in implementing the models in real-time are contemplated. Also, A multimodal system with both speech and facial features is proposed for emotion recognition through which it is possible to obtain an enhanced accuracy compare with the existing systems.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1662 %R doi:10.18517/ijaseit.7.4.1662 %J International Journal on Advanced Science, Engineering and Information Technology %V 7 %N 4 %@ 2088-5334

IEEE

Veni S and Thushara S,"Multimodal Approach to Emotion Recognition for Enhancing Human Machine Interaction - A Survey," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 4, pp. 1428-1433, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.4.1662.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - S, Veni
AU  - S, Thushara
PY  - 2017
TI  - Multimodal Approach to Emotion Recognition for Enhancing Human Machine Interaction - A Survey
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 4
Y2  - 2017
SP  - 1428
EP  - 1433
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - emotion recognition; human-machine interaction; multimodal; speech features; facial features
N2  - 

Emotions are defined as a mental state that occurs instinctively rather than through voluntary effort. They are strong feelings triggered by experiencing the joy, hate, fear, love and is followed by some physiological changes. Emotions play a vital role in social interactions and facilitate the decision making and perception in human being. Emotions are conveyed through speech, facial expression or by physiological signals. There are 6 emotions which are treated as universal emotions: anger, happiness, sadness, disgust, surprise and fear. This paper projects different emotion recognition systems which aim at enhancing the Human-Machine interaction. The techniques and systems used in emotion detection may vary depending on the features inspected. This paper explores them in a descriptive and comparative manner. Further the various applications that adopt these systems to reduce the difficulties in implementing the models in real-time are contemplated. Also, A multimodal system with both speech and facial features is proposed for emotion recognition through which it is possible to obtain an enhanced accuracy compare with the existing systems.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1662 DO - 10.18517/ijaseit.7.4.1662

RefWorks

RT Journal Article
ID 1662
A1 S, Veni
A1 S, Thushara
T1 Multimodal Approach to Emotion Recognition for Enhancing Human Machine Interaction - A Survey
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 4
YR 2017
SP 1428
OP 1433
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 emotion recognition; human-machine interaction; multimodal; speech features; facial features
AB 

Emotions are defined as a mental state that occurs instinctively rather than through voluntary effort. They are strong feelings triggered by experiencing the joy, hate, fear, love and is followed by some physiological changes. Emotions play a vital role in social interactions and facilitate the decision making and perception in human being. Emotions are conveyed through speech, facial expression or by physiological signals. There are 6 emotions which are treated as universal emotions: anger, happiness, sadness, disgust, surprise and fear. This paper projects different emotion recognition systems which aim at enhancing the Human-Machine interaction. The techniques and systems used in emotion detection may vary depending on the features inspected. This paper explores them in a descriptive and comparative manner. Further the various applications that adopt these systems to reduce the difficulties in implementing the models in real-time are contemplated. Also, A multimodal system with both speech and facial features is proposed for emotion recognition through which it is possible to obtain an enhanced accuracy compare with the existing systems.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1662 DO - 10.18517/ijaseit.7.4.1662