Kuka: An Architecture for Associating an Augmented Artefact with Its User Using Wearable Sensors

In this paper, we present an architecture for associating a person and an artefact (a daily object) utilized by him/her in an ad-hoc and extensible manner. The proximity of the acceleration signal patterns from wearable sensors on different parts of the body and sensor augmented artefacts are utilized for making an association. The proposed architecture also provides a filtering facility to reduce the possibility of miss-association between an artefact and a person who is using a different artefact in a similar way but just exists in close vicinity. With the association information, a system can provide a more reliable context-aware service as the particular role of an artefact and the proprietary nature of such an accessory gives additional knowledge for the system. A distributed architecture and a correlation coefficient based approach is realized. We describe the design, a prototype implementation and a basic experiment.