Sinossi
We are witnessing the birth of a new era in which almost every object can be a connected object. In recent years, the internet of things field attracts many researchers’ attention. Subsequently, the number of internet of things application is augmenting quickly. Furthermore, on the other hand, face detection and emotion recognition have been an active research area for several years, and therefore a large amount of work has been done in this field. Our aim is to create a system able to help parent while raising their baby. This system is equipped with an intelligent camera that performs an automated facial expression analysis in order to detect a child crying. In general, three main steps can be presented within exploring the facial expression analysis problem. First, in order to analyze a facial expression, a face need to be detected in a scene. Then, a mechanism is used, to execute the extraction of the facial expression information from the presented image or image sequence. Followed by the final step which is facial expression classification.
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Crying emotion classification, using machine learning algorithms
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Éditions Universitaires Européennes Feb 2019, 2019
ISBN 10: 6138459857
ISBN 13: 9786138459859
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We are witnessing the birth of a new era in which almost every object can be a connected object. In recent years, the internet of things field attracts many researchers' attention. Subsequently, the number of internet of things application is augmenting quickly. Furthermore, on the other hand, face detection and emotion recognition have been an active research area for several years, and therefore a large amount of work has been done in this field. Our aim is to create a system able to help parent while raising their baby. This system is equipped with an intelligent camera that performs an automated facial expression analysis in order to detect a child crying. In general, three main steps can be presented within exploring the facial expression analysis problem. First, in order to analyze a facial expression, a face need to be detected in a scene. Then, a mechanism is used, to execute the extraction of the facial expression information from the presented image or image sequence. Followed by the final step which is facial expression classification. 88 pp. Englisch. Codice articolo 9786138459859
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Crying emotion classification, using machine learning algorithms
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ISBN 10: 6138459857
ISBN 13: 9786138459859
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Azouzi NouhaNouha azouzi PhD student, part time university teacher and software engineer. I was Born on 1 january 1993 in Tunisia. Exploring new things and enrich my knowledge, is my first aim. In the university stage, i get to meet . Codice articolo 280826196
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Crying emotion classification, using machine learning algorithms
Editore:
Éditions Universitaires Européennes Feb 2019, 2019
ISBN 10: 6138459857
ISBN 13: 9786138459859
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -We are witnessing the birth of a new era in which almost every object can be a connected object. In recent years, the internet of things field attracts many researchers¿ attention. Subsequently, the number of internet of things application is augmenting quickly. Furthermore, on the other hand, face detection and emotion recognition have been an active research area for several years, and therefore a large amount of work has been done in this field. Our aim is to create a system able to help parent while raising their baby. This system is equipped with an intelligent camera that performs an automated facial expression analysis in order to detect a child crying. In general, three main steps can be presented within exploring the facial expression analysis problem. First, in order to analyze a facial expression, a face need to be detected in a scene. Then, a mechanism is used, to execute the extraction of the facial expression information from the presented image or image sequence. Followed by the final step which is facial expression classification.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Codice articolo 9786138459859
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Crying emotion classification, using machine learning algorithms
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Éditions Universitaires Européennes, 2019
ISBN 10: 6138459857
ISBN 13: 9786138459859
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We are witnessing the birth of a new era in which almost every object can be a connected object. In recent years, the internet of things field attracts many researchers' attention. Subsequently, the number of internet of things application is augmenting quickly. Furthermore, on the other hand, face detection and emotion recognition have been an active research area for several years, and therefore a large amount of work has been done in this field. Our aim is to create a system able to help parent while raising their baby. This system is equipped with an intelligent camera that performs an automated facial expression analysis in order to detect a child crying. In general, three main steps can be presented within exploring the facial expression analysis problem. First, in order to analyze a facial expression, a face need to be detected in a scene. Then, a mechanism is used, to execute the extraction of the facial expression information from the presented image or image sequence. Followed by the final step which is facial expression classification. Codice articolo 9786138459859
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Crying emotion classification, using machine learning algorithms
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Éditions universitaires européennes, 2019
ISBN 10: 6138459857
ISBN 13: 9786138459859
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Taschenbuch. Condizione: Neu. Crying emotion classification, using machine learning algorithms | Nouha Azouzi | Taschenbuch | 88 S. | Englisch | 2019 | Éditions universitaires européennes | EAN 9786138459859 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 115845587
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Crying emotion classification, using machine learning algorithms
Editore:
Éditions universitaires européennes, 2019
ISBN 10: 6138459857
ISBN 13: 9786138459859
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Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | We are witnessing the birth of a new era in which almost every object can be a connected object. In recent years, the internet of things field attracts many researchers¿ attention. Subsequently, the number of internet of things application is augmenting quickly. Furthermore, on the other hand, face detection and emotion recognition have been an active research area for several years, and therefore a large amount of work has been done in this field. Our aim is to create a system able to help parent while raising their baby. This system is equipped with an intelligent camera that performs an automated facial expression analysis in order to detect a child crying. In general, three main steps can be presented within exploring the facial expression analysis problem. First, in order to analyze a facial expression, a face need to be detected in a scene. Then, a mechanism is used, to execute the extraction of the facial expression information from the presented image or image sequence. Followed by the final step which is facial expression classification. Codice articolo 34026239/1
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