Arşiv ve Dokümantasyon Merkezi
Dijital Arşivi

CAREACT: an adaptive and context aware framework for anomaly detection in ambient assisted living

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dc.contributor Graduate Program in Computer Engineering.
dc.contributor.advisor Ersoy, Cem.
dc.contributor.author Özen, Mustafa Ozan.
dc.date.accessioned 2023-03-16T10:01:43Z
dc.date.available 2023-03-16T10:01:43Z
dc.date.issued 2013.
dc.identifier.other CMPE 2013 O84
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/12259
dc.description.abstract In this thesis, we analyzed current trends and challenges in ambient assisted living environments and deduced that there is a need for a monitoring system that incorporates existing telemonitoring concepts to activities of daily living recognition systems in a way that is easy to integrate, requires little or no maintenance after deployment and is easy to modify whenever needed. To address this need, we present CAREACT, an ambient assisted living system which monitors daily lives of inhabitants for anomaly detection in real-time with a set of features supported by state of the art literature, that have not been combined in a single system up to date: interoperability, rule based pattern detection, adaptivity and analyzability. CAREACT is built on complex event processing technology which has builtin support for rule based pattern detection and interoperability that works in real-time under heavy load. In this work, we also present a new methodology, called future events, that changes the paradigm of processing the time windows within patterns in a way that it takes constant time to process time windows regardless of their size. We implemented CAREACT and integrated it with one of the existing activities of daily living systems in our testbed environment to show that the proposed architecture is applicable and indeed it increases the efficiency of the anomaly detection process.
dc.format.extent 30 cm.
dc.publisher Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013.
dc.subject.lcsh Self-help devices for older people.
dc.subject.lcsh Assistive computer technology.
dc.subject.lcsh Ambient intelligence.
dc.title CAREACT: an adaptive and context aware framework for anomaly detection in ambient assisted living
dc.format.pages xiii, 64 leaves ;


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