Systems and methods for adaptive smart environment automation

A computer implemented method, comprising:

• determining a plurality of sequence patterns of data points in a set of input data corresponding to a plurality of sensors in a space, the input data including a plurality of data points corresponding to each of the sensors, wherein the sequence patterns being at least partially discontinuous;
• generating a plurality of statistical models based on the plurality of sequence patterns, the individual statistical models corresponding to an activity of a user;
• and
• recognizing the activity of the user based on the statistical models and additional input data from the sensors.

A computer system, comprising:

• a plurality of sensors installed in a space, the sensors being configured to provide input data including a plurality of data points corresponding to each of the sensors;
• a controller operatively coupled to the sensors, the controller including:
• an activity miner configured to analyze the input data from the plurality of sensors to determine a plurality of sequence patterns of data points, the sequence patterns being at least partially discontinuous;
• and
• an activity model configured to generate a plurality of statistical models based on the plurality of sequence patterns, the individual statistical models corresponding to an activity of a user.