Activity Recognition in Pervasive Intelligent Environments

Häftad, Engelska, 2013

AvLiming Chen,Chris D. Nugent,Jit Biswas,Jesse Hoey

1 419 kr

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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.

Produktinformation

Utgivningsdatum2013-07-15
Mått155 x 235 x 19 mm
Vikt528 g
FormatHäftad
SpråkEngelska
SerieAtlantis Ambient and Pervasive Intelligence
Antal sidor329
Upplaga2011
FörlagAtlantis Press (Zeger Karssen)
ISBN9789491216404

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it

"Activity Recognition: Approaches, Practices and Trends.Possibilistic Activity Recognition.Multi-user 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 Ontology-based Context-aware 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.Ontology-based 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.Multi-user 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 Ontology-based Context-aware 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.Ontology-based 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."