Dynamic Daily-Living Patterns and Association Analyses in Tele-Care Systems

Authors:
B.-S. Lee;T. P. Martin;N. P. Clarke;B. Majeed;D. Nauck
Affiliations:
University of Bristol, UK;University of Bristol, UK;University of Bristol, UK;British Telecom PLC, UK;British Telecom PLC, UK
Venue:
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Year:
2004

Citing 0
Cited 2

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Analysis of daily-living dynamics

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Abstract

Tele-care systems aim to carry out intelligent analyses of a person's wellbeing using data about their daily activities. This is a very challenging task because the massive dataset is likely to be erroneous, possibly with misleading sections due to noise or missing values. Furthermore, the interpretation of the data is highly sensitive to the lifestyle of the monitored person and the environment in which they interact. In our tele-care project, sensor-network domain knowledge is used to overcome the difficulties of monitoring long-term wellbeing with an imperfect data source. In addition, a fuzzy association analysis is leveraged to implement a dynamic and flexible analysis over individual- and environment-dependent data.