This paper describes a data generator to synthesize sensor observations in the context of environment monitoring. The overall goal of our work is to monitor the well-being of occupant(s) in a home. Sensors are embedded in a smart home to unobtrusively record environmental parameters. Based on the sensor observations, behavior analysis and modeling are performed. Behavior modeling and analysis require large data sets to be collected over long periods of time to achieve the level of accuracy expected. A data generator – was developed based on initial data i.e. data collected over periods lasting weeks to facilitate concurrent data collection, and development of modeling algorithms. The data generator is based on statistical inference techniques to produce models. Variation is introduced into the data by perturbing the models.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 firstname.lastname@example.org
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 email@example.com