Research Article
An approach to structuring reasoning for interpretation of sensor data in home-based health and well-being monitoring applications
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2011.246099, author={Herman J. Horst and Alexander Sinitsyn}, title={An approach to structuring reasoning for interpretation of sensor data in home-based health and well-being monitoring applications}, proceedings={5th International ICST Conference on Pervasive Computing Technologies for Healthcare}, publisher={IEEE}, proceedings_a={PERVASIVEHEALTH}, year={2012}, month={4}, keywords={data interpretation reasoning monitoring modelling knowledge elderly care}, doi={10.4108/icst.pervasivehealth.2011.246099} }- Herman J. Horst
Alexander Sinitsyn
Year: 2012
An approach to structuring reasoning for interpretation of sensor data in home-based health and well-being monitoring applications
PERVASIVEHEALTH
ICST
DOI: 10.4108/icst.pervasivehealth.2011.246099
Abstract
This paper presents an approach to structuring knowledge and reasoning for high-level interpretation of sensor data in e.g. independent living applications. The main contribution is to use generalized events, described in terms of `space-time chunks', as a unifying and simplifying structuring principle. We use reasoning with ontologies and rules in combination with a database system, and also incorporate numerical computation. We show that an easy to use modeling formalism is obtained, and that reasoning is feasible at the time of service request, by using R-entailment, which enables efficient exploitation of ontologies and rules in the presence of RDF data. Two applications were built using the approach described in this paper, both of which are related to monitoring well-being of elderly people, and both of which use simple, low-cost sensors.