Abstract: Activity templates are generated from one or more existing smart environments (e.g., source spaces) based on sensor data from the one or more existing smart environments that corresponds to known activities. A target activity template is then generated for a new smart environment, e.g., the target space. The source space activity templates are then mapped to the target activity templates to enable recognition of activities based on sensor data received from the target space.

Abstract: A strategy is described for annotating a digital map. According to one exemplary aspect, the user can link a single uploaded object to multiple locations within a map (or maps) without requiring separate uploading and storing operations such that a single instance of the object is simultaneously linked to each of the multiple locations. Further aspects are also described.

Abstract: A strategy is described for annotating a digital map. According to one exemplary aspect, the user can instruct map processing functionality (MPF) to automatically extract objects from a data source (such as an RSS data source) and annotate the map with the objects based on relative locations associated with the objects. Further aspects are also described.

Abstract: Several embodiments of systems and methods for adaptive smart environment automation are described herein. In one embodiment, a computer implemented method includes 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 include a plurality of data points corresponding to each of the sensors, and the sequence patterns are at least partially discontinuous. The method also includes generating a plurality of statistical models based on the plurality of sequence patterns, and the individual statistical models corresponding to an activity of a user. The method further includes recognizing the activity of the user based on the statistical models and additional input data from the sensors.

Abstract: Activity templates are generated from one or more existing smart environments (e.g., source spaces) based on sensor data from the one or more existing smart environments that corresponds to known activities. A target activity template is then generated for a new smart environment, e.g., the target space. The source space activity templates are then mapped to the target activity templates to enable recognition of activities based on sensor data received from the target space.

Abstract: A physical environment is equipped with a plurality of non-obtrusive sensors (e.g., motion sensors). As a plurality of residents perform various activities within the physical environment, sensor readings are received from one or more of the sensors. Based on the sensor readings, each of the plurality of residents is identified and locations of each of the plurality of residents are tracked.

Abstract: A strategy is described for annotating a digital map. According to one exemplary aspect, the user can link a single uploaded object to multiple locations within a map (or maps) without requiring separate uploading and storing operations. According to another exemplary aspect, the user can specify a range of zoom levels in which an object is made visible on the map. According to another exemplary aspect, the user can instruct map processing functionality (MPF) to automatically extract objects from a data source (such as an RSS data source) and annotate the map with the objects. Still further aspects are described.