9789491216404 - Activity Recognition in Pervasive Intelligent Environments: 4 (15 risultati)

Condizione: New. In.

Condizione: New. pp. 348.

Condizione: New. Addressing numerous aspects of activity recognition, this book's three sections cover the mathematical and AI aspects of activity modeling, methods and algorithms for activity recognition, and scalable new architectures and frameworks for activity recognition. Editor(s): Chen, Liming; Nugent, Chris D.; Biswas, Jit; Hoey, Jesse. Series: Atlantis Ambient and Pervasive Intelligence. Num Pages: 344 pages, 56 black & white illustrations, 40 colour illustrations, biography. BIC Classification: UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 534. . 2013. Paperback. . . . .

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 348 | Sprache: Englisch | Produktart: Bücher | This book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics. The first topic will be focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques. The second topic will concentrate on activity recognition methods and algorithms. Apart from traditional methods based on data mining and machine learning, we are particularly interested in novel approaches, such as the ontology-based approach, that facilitate data integration, sharing and automatic/automated processing. In the third topic we intend to cover novel architectures and frameworks for activity recognition, which are scalable and applicable to large scale distributed dynamic environments. In addition, this topic will also include the underpinning technological infrastructure, i.e. tools and APIs, that supports function/capability sharing and reuse, and rapid development and deployment of technological solutions. The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle of activity recognition and their use for novel functions of the end-user systems with comprehensive implementation, prototyping and evaluation. This will include a wide range of application scenarios, such as smart homes, intelligent conference venues and cars.

Paperback. Condizione: Brand New. 2011 edition. 328 pages. 9.20x6.10x0.82 inches. In Stock.

Taschenbuch. Condizione: Neu. Activity Recognition in Pervasive Intelligent Environments | Liming Chen (u. a.) | Taschenbuch | Atlantis Ambient and Pervasive Intelligence | xv | Englisch | 2013 | Atlantis Press | EAN 9789491216404 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condizione: New. Addressing numerous aspects of activity recognition, this book's three sections cover the mathematical and AI aspects of activity modeling, methods and algorithms for activity recognition, and scalable new architectures and frameworks for activity recognition. Editor(s): Chen, Liming; Nugent, Chris D.; Biswas, Jit; Hoey, Jesse. Series: Atlantis Ambient and Pervasive Intelligence. Num Pages: 344 pages, 56 black & white illustrations, 40 colour illustrations, biography. BIC Classification: UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 534. . 2013. Paperback. . . . . Books ship from the US and Ireland.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics. The first topic will be focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques. The second topic will concentrate on activity recognition methods and algorithms. Apart from traditional methods based on data mining and machine learning, we are particularly interested in novel approaches, such as the ontology-based approach, that facilitate data integration, sharing and automatic/automated processing. In the third topic we intend to cover novel architectures and frameworks for activity recognition, which are scalable and applicable to large scale distributed dynamic environments. In addition, this topic will also include the underpinning technological infrastructure, i.e. tools and APIs, that supports function/capability sharing and reuse, and rapid development and deployment of technological solutions. The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle of activity recognition and their use for novel functions of the end-user systems with comprehensive implementation, prototyping and evaluation. This will include a wide range of application scenarios, such as smart homes, intelligent conference venues and cars. 348 pp. Englisch.

Condizione: New. Print on Demand pp. 348 96 Illus. (40 Col.).

Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Complete systematic view on the state of the art work on activity recognition. One-stop hand-on reference book for activity recognition. Interdisciplinary overview, ranging from pervaisve computing through intelligent environments to mobile computing.Th.

Condizione: New. PRINT ON DEMAND pp. 348.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Inhaltsangabe'Activity Recognition: Approaches, Practices and Trends. Possibilistic Activity Recognition. Multiuser Activity Recognition in a Smart Home. Smart Environments and Activity Recognition: a Logic-based Approach. ElderCare: An Interactive TV-based Ambient Assisted Living Platform. An Ontologybased Contextaware Approach for Behaviour Analysis. User's Behavior Classification Model for Smart Houses Occupant Prediction. Activity Recognition Benchmark. Smart Sweet Home. Synthesising Generative ProbabilisticModels for High-Level Activity Recognition. Ontologybased Learning Framework for Activity Assistance in an Adaptive Smart Home. Benefits of Dynamically Reconfigurable Activity Recognition in Distributed Sensing Environments. Embedded Activity Monitoring Methods. Activity Recognition and Healthier Food Preparation. Activity Recognition: Approaches, Practices and Trends. Possibilistic Activity Recognition. Multiuser Activity Recognition in a Smart Home. Smart Environments and Activity Recognition: a Logic-based Approach. ElderCare: An Interactive TV-based Ambient Assisted Living Platform. An Ontologybased Contextaware Approach for Behaviour Analysis. User's Behavior Classification Model for Smart Houses Occupant Prediction. Activity Recognition Benchmark. Smart Sweet Home. Synthesising Generative ProbabilisticModels for High-Level Activity Recognition. Ontologybased Learning Framework for Activity Assistance in an Adaptive Smart Home. Benefits of Dynamically Reconfigurable Activity Recognition in Distributed Sensing Environments. Embedded Activity Monitoring Methods. Activity Recognition and Healthier Food Preparation. 'Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics. The first topic will be focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques. The second topic will concentrate on activity recognition methods and algorithms. Apart from traditional methods based on data mining and machine learning, we are particularly interested in novel approaches, such as the ontology-based approach, that facilitate data integration, sharing and automatic/automated processing. In the third topic we intend to cover novel architectures and frameworks for activity recognition, which are scalable and applicable to large scale distributed dynamic environments. In addition, this topic will also include the underpinning technological infrastructure, i.e. tools and APIs, that supports function/capability sharing and reuse, and rapid development and deployment of technological solutions. The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle of activity recognition and their use for novel functions of the end-user systems with comprehensive implementation, prototyping and evaluation. This will include a wide range of application scenarios, such as smart homes, intelligent conference venues and cars.