Split-merge algorithm and Gaussian mixture models for AAL

Analyzing time series sensor data and build statistical model in real time has to overcome two problems at least: the data count increase with time and the distribution of the data is dynamically. To deal with this kind of problems Gaussian mixture model and split-merge algorithm provide useful way. In an AAL project we handle the time series sensor data from a medical box contactor and a meal entrance contactor. Using Gaussian mixture model and split-merge algorithm to analyze the sensor data gathered for about one and a half months and built the statistical model.