Activity Recognition In Pervasive Intelligent Environments - KING OF EXCEL

Saturday, May 30, 2020

Activity Recognition In Pervasive Intelligent Environments

Activity Recognition In Pervasive Intelligent Environments

Atlantis Ambient and Pervasive Intelligence

56d6571bd1cef.jpgAuthorChris D. Nugent and Liming Chen
Isbn9789078677420
File size11.4 MB
Year2011
Pages329
LanguageEnglish
File formatPDF
CategoryProgramming
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. 
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