An Emotion Recognition System Based on DT-CWT and ANN
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An Emotion Recognition System Based on DT-CWT and ANN (2017)
DE PB NW
ISBN: 9783330322325 bzw. 3330322322, in Deutsch, LAP Lambert Academic Publishing Jun 2017, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - Facial expressions are the facial changes in response to a person's internal emotional states, intentions, or social communications. Facial expression is a vital part of communication and conveys the emotional state of the individual to observers. Anger, surprise, fear, sadness, happiness and disgust are the six basic prototypic emotions. In this study, emotional face recognition in individuals was investigated. Therefore, automatic emotional face recognition is a great motivating and interesting topic which is related to artificial intelligence, signal processing and pattern recognition topics. Feature extraction and classification are the two main steps in an emotion recognition system. In the current study, the dual tree complex wavelet transform (DT-CWT), and local binary patterns (LBP) are employed as feature extractors with the aim of emotion recognition. In addition, the support vector machines (SVM) and artificial neural network (ANN) were used as classification methods. First, the facial images were processed with DT-CWT and LBP with the aim of feature extraction. Second, Artificial Neural Networks and Support Vector Machines were used for facial expression classification. 72 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - Facial expressions are the facial changes in response to a person's internal emotional states, intentions, or social communications. Facial expression is a vital part of communication and conveys the emotional state of the individual to observers. Anger, surprise, fear, sadness, happiness and disgust are the six basic prototypic emotions. In this study, emotional face recognition in individuals was investigated. Therefore, automatic emotional face recognition is a great motivating and interesting topic which is related to artificial intelligence, signal processing and pattern recognition topics. Feature extraction and classification are the two main steps in an emotion recognition system. In the current study, the dual tree complex wavelet transform (DT-CWT), and local binary patterns (LBP) are employed as feature extractors with the aim of emotion recognition. In addition, the support vector machines (SVM) and artificial neural network (ANN) were used as classification methods. First, the facial images were processed with DT-CWT and LBP with the aim of feature extraction. Second, Artificial Neural Networks and Support Vector Machines were used for facial expression classification. 72 pp. Englisch.
2
An Emotion Recognition System Based on DT-CWT and ANN
~EN PB NW
ISBN: 9783330322325 bzw. 3330322322, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
An Emotion Recognition System Based on DT-CWT and ANN: Facial expressions are the facial changes in response to a person`s internal emotional states, intentions, or social communications. Facial expression is a vital part of communication and conveys the emotional state of the individual to observers. Anger, surprise, fear, sadness, happiness and disgust are the six basic prototypic emotions. In this study, emotional face recognition in individuals was investigated. Therefore, automatic emotional face recognition is a great motivating and interesting topic which is related to artificial intelligence, signal processing and pattern recognition topics. Feature extraction and classification are the two main steps in an emotion recognition system. In the current study, the dual tree complex wavelet transform (DT-CWT), and local binary patterns (LBP) are employed as feature extractors with the aim of emotion recognition. In addition, the support vector machines (SVM) and artificial neural network (ANN) were used as classification methods. First, the facial images were processed with DT-CWT and LBP with the aim of feature extraction. Second, Artificial Neural Networks and Support Vector Machines were used for facial expression classification. Englisch, Taschenbuch.
An Emotion Recognition System Based on DT-CWT and ANN: Facial expressions are the facial changes in response to a person`s internal emotional states, intentions, or social communications. Facial expression is a vital part of communication and conveys the emotional state of the individual to observers. Anger, surprise, fear, sadness, happiness and disgust are the six basic prototypic emotions. In this study, emotional face recognition in individuals was investigated. Therefore, automatic emotional face recognition is a great motivating and interesting topic which is related to artificial intelligence, signal processing and pattern recognition topics. Feature extraction and classification are the two main steps in an emotion recognition system. In the current study, the dual tree complex wavelet transform (DT-CWT), and local binary patterns (LBP) are employed as feature extractors with the aim of emotion recognition. In addition, the support vector machines (SVM) and artificial neural network (ANN) were used as classification methods. First, the facial images were processed with DT-CWT and LBP with the aim of feature extraction. Second, Artificial Neural Networks and Support Vector Machines were used for facial expression classification. Englisch, Taschenbuch.
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Symbolbild
An Emotion Recognition System Based on DT-CWT and ANN
DE NW
ISBN: 9783330322325 bzw. 3330322322, in Deutsch, neu.
Lieferung aus: Deutschland, Lieferzeit: 7 Tage.
Facial expressions are the facial changes in response to a person's internal emotional states, intentions, or social communications. Facial expression is a vital part of communication and conveys the emotional state of the individual to observers. Anger, surprise, fear, sadness, happiness and disgust are the six basic prototypic emotions. In this study, emotional face recognition in individuals was investigated. Therefore, automatic emotional face recognition is a great motivating and interesting topic which is related to artificial intelligence, signal processing and pattern recognition topics. Feature extraction and classification are the two main steps in an emotion recognition system. In the current study, the dual tree complex wavelet transform (DT-CWT), and local binary patterns (LBP) are employed as feature extractors with the aim of emotion recognition. In addition, the support vector machines (SVM) and artificial neural network (ANN) were used as classification methods. First, the facial images were processed with DT-CWT and LBP with the aim of feature extraction. Second, Artificial Neural Networks and Support Vector Machines were used for facial expression classification.
Facial expressions are the facial changes in response to a person's internal emotional states, intentions, or social communications. Facial expression is a vital part of communication and conveys the emotional state of the individual to observers. Anger, surprise, fear, sadness, happiness and disgust are the six basic prototypic emotions. In this study, emotional face recognition in individuals was investigated. Therefore, automatic emotional face recognition is a great motivating and interesting topic which is related to artificial intelligence, signal processing and pattern recognition topics. Feature extraction and classification are the two main steps in an emotion recognition system. In the current study, the dual tree complex wavelet transform (DT-CWT), and local binary patterns (LBP) are employed as feature extractors with the aim of emotion recognition. In addition, the support vector machines (SVM) and artificial neural network (ANN) were used as classification methods. First, the facial images were processed with DT-CWT and LBP with the aim of feature extraction. Second, Artificial Neural Networks and Support Vector Machines were used for facial expression classification.
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An Emotion Recognition System Based on DT-CWT and ANN
~EN NW
ISBN: 9783330322325 bzw. 3330322322, vermutlich in Englisch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lieferzeit: 11 Tage.
Facial expressions are the facial changes in response to a person's internal emotional states, intentions, or social communications. Facial expression is a vital part of communication and conveys the emotional state of the individual to observers. Anger, surprise, fear, sadness, happiness and disgust are the six basic prototypic emotions. In this study, emotional face recognition in individuals was investigated. Therefore, automatic emotional face recognition is a great motivating and interesting topic which is related to artificial intelligence, signal processing and pattern recognition topics. Feature extraction and classification are the two main steps in an emotion recognition system. In the current study, the dual tree complex wavelet transform (DT-CWT), and local binary patterns (LBP) are employed as feature extractors with the aim of emotion recognition. In addition, the support vector machines (SVM) and artificial neural network (ANN) were used as classification methods. First, the facial images were processed with DT-CWT and LBP with the aim of feature extraction. Second, Artificial Neural Networks and Support Vector Machines were used for facial expression classification.
Facial expressions are the facial changes in response to a person's internal emotional states, intentions, or social communications. Facial expression is a vital part of communication and conveys the emotional state of the individual to observers. Anger, surprise, fear, sadness, happiness and disgust are the six basic prototypic emotions. In this study, emotional face recognition in individuals was investigated. Therefore, automatic emotional face recognition is a great motivating and interesting topic which is related to artificial intelligence, signal processing and pattern recognition topics. Feature extraction and classification are the two main steps in an emotion recognition system. In the current study, the dual tree complex wavelet transform (DT-CWT), and local binary patterns (LBP) are employed as feature extractors with the aim of emotion recognition. In addition, the support vector machines (SVM) and artificial neural network (ANN) were used as classification methods. First, the facial images were processed with DT-CWT and LBP with the aim of feature extraction. Second, Artificial Neural Networks and Support Vector Machines were used for facial expression classification.
5
Symbolbild
An Emotion Recognition System Based on DT-CWT and ANN
DE PB NW
ISBN: 9783330322325 bzw. 3330322322, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
Publisher/Verlag: LAP Lambert Academic Publishing | Facial expressions are the facial changes in response to a person's internal emotional states, intentions, or social communications. Facial expression is a vital part of communication and conveys the emotional state of the individual to observers. Anger, surprise, fear, sadness, happiness and disgust are the six basic prototypic emotions. In this study, emotional face recognition in individuals was investigated. Therefore, automatic emotional face recognition is a great motivating and interesting topic which is related to artificial intelligence, signal processing and pattern recognition topics. Feature extraction and classification are the two main steps in an emotion recognition system. In the current study, the dual tree complex wavelet transform (DT-CWT), and local binary patterns (LBP) are employed as feature extractors with the aim of emotion recognition. In addition, the support vector machines (SVM) and artificial neural network (ANN) were used as classification methods. First, the facial images were processed with DT-CWT and LBP with the aim of feature extraction. Second, Artificial Neural Networks and Support Vector Machines were used for facial expression classification. | Format: Paperback | Language/Sprache: english | 72 pp.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
Publisher/Verlag: LAP Lambert Academic Publishing | Facial expressions are the facial changes in response to a person's internal emotional states, intentions, or social communications. Facial expression is a vital part of communication and conveys the emotional state of the individual to observers. Anger, surprise, fear, sadness, happiness and disgust are the six basic prototypic emotions. In this study, emotional face recognition in individuals was investigated. Therefore, automatic emotional face recognition is a great motivating and interesting topic which is related to artificial intelligence, signal processing and pattern recognition topics. Feature extraction and classification are the two main steps in an emotion recognition system. In the current study, the dual tree complex wavelet transform (DT-CWT), and local binary patterns (LBP) are employed as feature extractors with the aim of emotion recognition. In addition, the support vector machines (SVM) and artificial neural network (ANN) were used as classification methods. First, the facial images were processed with DT-CWT and LBP with the aim of feature extraction. Second, Artificial Neural Networks and Support Vector Machines were used for facial expression classification. | Format: Paperback | Language/Sprache: english | 72 pp.
7
An Emotion Recognition System Based on DT-CWT and ANN
~EN PB NW
ISBN: 3330322322 bzw. 9783330322325, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
An Emotion Recognition System Based on DT-CWT and ANN (2017)
EN PB NW
ISBN: 9783330322325 bzw. 3330322322, in Englisch, 72 Seiten, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen, Versandkostenfrei.
Von Händler/Antiquariat, dodax-shop-eu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, dodax-shop-eu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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