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Given the increasing attention paid to speech emotion classification in recent years, this work presents a novel speech emotion classification approach based on the multiple kernel Gaussian process. Two major aspects of a classification problem that play an important role in classification accuracy are addressed, i.e. feature extraction and classification. Prosodic features and other features widely...
Music is a powerful force that evokes human emotions. Several investigations of music emotion recognition (MER) have been conducted in recent years. This paper proposes a system for detecting emotion in music that is based on a deep Gaussian process (GP). The system consists of two parts-feature extraction and classification. In the feature extraction part, five types of features that are associated...
As the development of the medical technology, more and more people start to pay attention to their health. A large amount of health information can be easily obtained from the website now. Therefore, text categorization is important to analyze the information. In this work, we propose a system for text categorization that is based on a Gaussian process. Our proposed system involves the two parts-...
Crimes cause several costs to the society, including direct economic costs, victim costs, and other intangible costs. Recently, the research works of implementing computerized system to address the problem of crime has seen a growing interest. In this work, we propose a criminal intention detection system, which objective is to detect the intention of committing a crime by analyzing the content of...
Meditation is an interesting research issue for these decades. Meditation is benefit for health improvement and illness reduction. Abundant of studies from physiological and psychological point of view were made for meditation. During meditation, it is a fundamental require sitting without body movement. Novel body motion monitoring and estimation system is developed in this study. Wireless tri-axis...
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