An Emotion Recognition System Based on DT-CWT and ANN

Name: An Emotion Recognition System Based on DT-CWT and ANN
Brand: LAP Lambert Academic Publishing
SKU: 9783330322325
Price: 12374 HUF
Availability: InStock

Szerző: Amina Faris Abdulla, Görkem Serbes

Nyelv:

Kötés: Puha kötésű

Kiadó: LAP Lambert Academic Publishing

Elérhetőség: Beszállítói készleten

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Facial expressions are the facial changes in response to a person's internal emotional states, inten...

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Szerző

Amina Faris Abdulla, Görkem Serbes

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2017

oldal

EAN

9783330322325

Enbook ID

16608955

Kiadó

LAP Lambert Academic Publishing

Súly

125

Méretek

150 x 220 x 4

Teljes leírás

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

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