Optimization Methods in Emotion Recognition System
نویسندگان
چکیده
منابع مشابه
Human Emotion Recognition System
This paper discusses the application of feature extraction of facial expressions with combination of neural network for the recognition of different facial emotions (happy, sad, angry, fear, surprised, neutral etc..). Humans are capable of producing thousands of facial actions during communication that vary in complexity, intensity, and meaning. This paper analyses the limitations with existing...
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Facial Emotion Expressions plays an important role in interpersonal relations.This is because human convey lot of information visually than verbally.To automate recognition of emotion state,machine should taught to understand facial guestures.In this paper we classify emotion expression through Support Vector Machine(SVM) & Hidden Markov Model (HMM),then Hidden Markov Model is optimized using G...
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Speech emotion is divided into four categories, Fear, Happy, Neutral and Surprise in this paper. Traditional features and their statistics are generally applied to recognize speech emotion. In order to quantify each feature’s contribution to emotion recognition, a method based on the Back Propagation (BP) neural network is adopted. Then we can obtain the optimal subset of the features. What’s m...
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Computer, robotic and mobile interfaces are beginning to use expression recognition to give a more human experience. To make an interface more dynamic and seamless to human interaction, understanding of emotions is key. A robust application to recognize certain facial expressions in real time has many obstacles starting from correctly identifying a face and extracting necessary features of the ...
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The impact of the classification method and features selection for the speech emotion recognition accuracy is discussed in this paper. Selecting the correct parameters in combination with the classifier is an important part of reducing the complexity of system computing. This step is necessary especially for systems that will be deployed in real-time applications. The reason for the development...
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ژورنال
عنوان ژورنال: Radioengineering
سال: 2016
ISSN: 1210-2512
DOI: 10.13164/re.2016.0565