A model for addition of user information to sensor data obtained from living environment
Proceedings of the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
Implicit interaction with daily objects: applications and issues
Proceedings of the 3rd International Universal Communication Symposium
An individual data extraction model for objects used by a number of people
ISWPC'09 Proceedings of the 4th international conference on Wireless pervasive computing
A study on automatic recognition of object use exploiting motion correlation of wireless sensors
Personal and Ubiquitous Computing
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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.