Osmani, Venet and Balasubramaniam, Sasitharan and Botvich, Dmitri (2007) Self-organising object networks using context zones for distributed activity recognition. In: BODYNETS 2007 - 2nd International ICST Conference on Body Area Networks :. BODYNETS 2007 - 2nd International ICST Conference on Body Area Networks . ICST, ITA. ISBN 9789630621939
Full text not available from this repository. (Request a copy)Abstract
Activity recognition has a high applicability scope in patient monitoring since it has the potential to observe patients' actions and recognise erratic behaviour. Our activity recognition architecture described in this paper is particularly suited for this task due to the fact that collaboration of constituent components, namely Object Networks, Activity Map and Activity Inference Engine create a flexible and scalable platform taking into consideration needs of individual users. We utilise information generated from sensors that observe user interaction with the objects in the environment and also information from body-worn sensors. This information is processed in a distributed manner through the object network hierarchy which we formally define. The object network has the effect of increasing the level of abstraction of information such that this high-level information is utilised by the Activity Inference Engine. This engine also takes into consideration information from the user's profiles in order to deduce the most probable activity and at the same time observe any erratic or potentially unsafe behaviour. We also present a scenario and show the results of our study.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Publisher Copyright: Copyright © 2007 ICST. |
| Uncontrolled Keywords: | /dk/atira/pure/subjectarea/asjc/1700/1702 |
| Departments or Groups: | |
| Depositing User: | Admin SSL |
| Date Deposited: | 19 Oct 2022 23:15 |
| Last Modified: | 07 Jun 2023 18:38 |
| URI: | http://repository-testing.wit.ie/id/eprint/4882 |
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