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

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

ISBN-10: 9078677422

ISBN-13: 9789078677420

This booklet comprises a couple of chapters addressing diverse points of job reputation, approximately in 3 major different types of subject matters. the 1st subject should be serious about task modeling, illustration and reasoning utilizing mathematical versions, wisdom illustration formalisms and AI thoughts. the second one subject will be aware of job reputation tools and algorithms. except conventional equipment according to info mining and computer studying, we're fairly attracted to novel techniques, similar to the ontology-based technique, 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 acceptable to giant scale dispensed dynamic environments. furthermore, this subject also will contain the underpinning technological infrastructure, i.e. instruments and APIs, that helps function/capability sharing and reuse, and speedy improvement and deployment of technological strategies. The fourth class of subject should be devoted to consultant functions of task reputation in clever environments, which deal with the existence cycle of task acceptance and their use for novel features of the end-user platforms with finished implementation, prototyping and overview. this can contain quite a lot of program situations, equivalent to shrewdpermanent houses, clever convention venues and cars.

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1, pp. 55–81. , (2005), The gator tech smart house: a programmable pervasive space, IEEE Computer, Vol. 38, No. 3, pp. 64–74. Pattern Analysis and Machine Intelligence, Vol. 28, No. 10, pp. 1553–1567. , (2005), A Decision-Theoretic Approach to Task Assistance for Persons with Dementia, In Proc. of the International Joint Conference on Artificial Intelligence (IJCAI’05), pp. 1293–1299. , (2007), Common Sense Based Joint Training of Human Activity Recognizers, In Proc. International Joint Conference on Artificial Intelligence.

Willard and Spackman’s Occupational Therapy. Philadelphia: Lippincott, Williams and Wilkins, pp. 538–578. , (2005), Unsupervised activity recognition using automatically mined common sense, in: Proc. of AAAI 2005. , (2006), Building Reliable Activity Models using Hierarchical Shrinkage and Mined Ontology, Proceedings of the 4th International Conference on Pervasive Computing, pp. 17–32. , (1999), Practical reasoning for expressive description logics, Lecture Notes in Artificial Intelligence, No.

In a real context, the people without such impairment can also act in an inconsistent manner, but on a level less important and Possibilistic Activity Recognition 37 regular than that of an Alzheimer’s patient. The main difference is that a healthy person is usually able to recognize his behavioral errors and corrects them in order to achieve his initial goals. In contrast, an Alzheimer’s patient will act incoherently, even while performing familiar tasks, and his behavior will become more inconsistent as the disease evolves.

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

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