An ontology-based context-aware system for smart homes: E-care@ home

M Alirezaie, J Renoux, U Köckemann, A Kristoffersson… - Sensors, 2017 - mdpi.com
Smart home environments have a significant potential to provide for long-term monitoring of
users with special needs in order to promote the possibility to age at home. Such …

Open-source data collection and data sets for activity recognition in smart homes

U Köckemann, M Alirezaie, J Renoux, N Tsiftes… - Sensors, 2020 - mdpi.com
As research in smart homes and activity recognition is increasing, it is of ever increasing
importance to have benchmarks systems and data upon which researchers can compare …

Implementing Distributed Feedback in a Tool that Supports Peer-to-Peer Simulation in Healthcare

S Katz, P Albacete, P Jordan, S Silliman… - … on Intelligent Tutoring …, 2024 - Springer
MedDbriefer is a web based ITS designed to enable healthcare students to do clinical
scenarios anytime, anywhere. While one student “voice treats” a scenario's patient (s) as the …

Integrating Ontologies for Context-based Constraint-based Planning

U Köckemann, M Alirezaie, L Karlsson… - … and Reasoning in …, 2018 - diva-portal.org
We describe an approach for integrating ontologies with a constraint-based planner to
compile configuration planning domains based on the current context. We consider two …

Goal-based Composition of Hybrid AI Systems

U Köckemanna - diva-portal.org
Integrated AI systems can often be composed of a series of black-box components. We
propose a planning based approach that takes a set of components, initially available …

Integrating Constraint-based Planning with LwM2M for IoT Network Scheduling

U Köckemann, N Tsiftes, A Loutfi - Workshop on AI for Internet of …, 2018 - diva-portal.org
This paper describes the design and implementation of a network scheduler prototype for
IoT networks within the e-healthcare domain. The network scheduler combines a constraint …