Activity Recognition in Pervasive Intelligent Environments by Liming Chen, Chris D. Nugent, Jit Biswas, Jesse Hoey PDF

By Liming Chen, Chris D. Nugent, Jit Biswas, Jesse Hoey

ISBN-10: 9078677422

ISBN-13: 9789078677420

This publication involves a couple of chapters addressing varied points of job reputation, approximately in 3 major different types of subject matters. the 1st subject might be occupied with job modeling, illustration and reasoning utilizing mathematical versions, wisdom illustration formalisms and AI thoughts. the second one subject will be aware of job attractiveness tools and algorithms. except conventional tools in line with information mining and desktop studying, we're quite attracted to novel techniques, similar to the ontology-based method, that facilitate facts integration, sharing and automatic/automated processing. within the 3rd subject we intend to hide novel architectures and frameworks for task popularity, that are scalable and appropriate to massive scale disbursed dynamic environments. additionally, this subject also will comprise the underpinning technological infrastructure, i.e. instruments and APIs, that helps function/capability sharing and reuse, and speedy improvement and deployment of technological suggestions. The fourth type of subject can be devoted to consultant purposes of job popularity in clever environments, which tackle the lifestyles cycle of job acceptance and their use for novel services of the end-user platforms with finished implementation, prototyping and evaluate. it will contain a variety of program situations, comparable to clever houses, clever convention venues and cars.

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709–712. , (2007), Applying Ontology and Probabilistic Model to Human Activity Recognition from Surrounding Things, IPSJ Digital Courier, Vol. 3, pp. 506–517. , (2007), Ontology-Based Management of the Telehealth Smart Home, Dedicated to Elderly in Loss of Cognitive Autonomy, CEUR Workshop Proceedings, Vol. pdf. , (2007), Ontology-Centred Design of an Ambient Middleware for Assisted Living: The Case of SOPRANO, In Proc. of the 30th Annual German Conference on Artificial Intelligence. , (2009), Semantic Smart Homes: Towards Knowledge Rich Assisted Living Environments, Studies in Computational Intelligence, Vol.

Firstly, the belief degree concerning an event is determined by the belief degree in the contrary event (additivity axiom). Secondly, the classical probability theory (single distribution) cannot model (full or partial) ignorance in a natural way [8]. e. the equal chance of occurrence of events. Ignorance represents the fact that, for an agent, each possible event’s occurrence is equally plausible, since there is no evidence that is available to support any of them by the lack of information. Hence, one of the solutions to this kind of problem is possibility theory [9], an uncertainty theory devoted to the handling of incomplete information.

1, No. 3, pp. 24–32. , (2006), Activity classification using realistic data from wearable sensors, IEEE Transactions on Information Technology in Biomedicine, Vol. 10, No. 1, pp. 119–128. , (2004), Inferring Activities from Interactions with Objects, IEEE Pervasive Computing: Mobile and Ubiquitous Systems, Vol. 3, No. 4, pp. 50–57. , (2008), A review of smart homes-Present state and future challenges, Computer Methods and Programs in Biomedicine, Vol. 91, No. 1, pp. 55–81. , (2005), The gator tech smart house: a programmable pervasive space, IEEE Computer, Vol.

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Activity Recognition in Pervasive Intelligent Environments by Liming Chen, Chris D. Nugent, Jit Biswas, Jesse Hoey


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