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

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

This e-book contains a couple of chapters addressing assorted elements of job popularity, approximately in 3 major different types of subject matters. the 1st subject may be eager about task modeling, illustration and reasoning utilizing mathematical types, wisdom illustration formalisms and AI recommendations. the second one subject will be aware of task acceptance equipment and algorithms. except conventional tools in line with facts mining and computing device studying, we're relatively drawn to novel ways, similar to the ontology-based strategy, that facilitate information integration, sharing and automatic/automated processing. within the 3rd subject we intend to hide novel architectures and frameworks for task attractiveness, that are scalable and appropriate to massive scale allotted dynamic environments. furthermore, this subject also will comprise the underpinning technological infrastructure, i.e. instruments and APIs, that helps function/capability sharing and reuse, and fast improvement and deployment of technological recommendations. The fourth classification of subject can be devoted to consultant purposes of job popularity in clever environments, which tackle the existence cycle of task acceptance and their use for novel services of the end-user platforms with accomplished implementation, prototyping and evaluate. it will contain quite a lot of program eventualities, corresponding to shrewdpermanent houses, clever convention venues and cars.

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An assistive system suggests the immediate subactivity classes to a inhabitant without specifying concrete actions. For the above example, the system will simply offer a reminder that the following ADL could be MakeHotDrink or MakeColdDrink. Once an inhabitant takes further actions by following the coarse-gained assistance, the unknown activity will unfold gradually towards the leaf activity. The increasing senor data will be available to help recognise the leaf activity. Once at this stage fine-grained activity assistance can be provided.

6, Nov. 2009. , Detecting Human Movement by Differential Activity Recognition: Approaches, Practices and Trends 31 Air Pressure Sensing in HVAC System Ductwork: An Exploration in Infrastructure Mediated Sensing. Proc. of the 6th International Conference on Pervasive Computing (Pervasive 2008), pp. 1–18, Sydney, Australia, 2008. , Sensing from the Basement: A Feasibility Study of Unobtrusive and Low-Cost Home Activity Recognition, UIST’06, 91–100. , Sensor-based abnormal human-activity detection.

Sensor-Based Human Activity Recognition in a Multi-user Scenario, AmI 2009, LNCS 5859, pp. 78–87, 2009. , Recognizing independent and joint activities among multiple residents in smart environments. Ambient Intelligence and Humanized Computing Journal, 1(1):57–63, 2010. , homeML - An open standard for the exchange of data within smart environments, Proceedings of 5th International Conference on Smart homes and health Telematics, Lecture Notes in Computer Science (Vol. 4541), pp. 121–129, 2007.

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