Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3276
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Blum, Jesse Michael
Magill, Evan
Contact Email: ehm@cs.stir.ac.uk
Title: Telecare Service Challenge: Conflict Detection
Citation: Blum JM & Magill E (2011) Telecare Service Challenge: Conflict Detection. In: 5th International Conference on Pervasive Computing Technologies for Healthcare 2011, PervasiveHealth 2011. International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth. Advances in Techniques and Technologies Assisting Care at Home Workshop for Pervasive Health, 5th International Conference on Pervasive Computing Technologies for Healthcare, Dublin, Ireland, 23.05.2011-26.05.2011. Institute of Electrical and Electronics Engineers (IEEE) / Pervasive Health, pp. 502 - 507. http://ieeexplore.ieee.org/servlet/opac?punumber=1002011
Issue Date: 2011
Date Deposited: 11-Aug-2011
Series/Report no.: International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth
Conference Name: Advances in Techniques and Technologies Assisting Care at Home Workshop for Pervasive Health, 5th International Conference on Pervasive Computing Technologies for Healthcare
Conference Dates: 2011-05-23 - 2011-05-26
Conference Location: Dublin, Ireland
Abstract: Telecare and telehealth system services can be dynamically configured to collect, analyse, store, and adapt to multimodal data about people as they go about their activities of daily life. These services need to be able to personalise to subjects and adapt to changes in lifestyles, environments and technology. Such dynamic adaptability may be well supported by a low-level rule programming approach; however measures may need to be taken to limit the emergence of conflicts between the distributed rulesets owing to differing programmatic assumptions and unexpected changes. Here, we consider types of conflict that might arise when a variety of care devices are brought together and begin to rely on each others' services. This paper describes a distributed rule-based conflict detection approach for use with heterogeneous mobile and home care devices. We propose methods that make it possible to detect certain forms of rule conflict. To do so, we introduce Event Calculus based logic for writing device rules and an analytical framework for conflict detection.
Status: AM - Accepted Manuscript
Rights: Published in 5th International Conference on Pervasive Computing Technologies for Healthcare 2011, PervasiveHealth 2011. © Copyright 2011 IEEE. © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This work has not yet been published so it has been embargoed. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
URL: http://ieeexplore.ieee.org/servlet/opac?punumber=1002011

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