Method and system for sensor based classification

A device comprising:

• a sensor processing unit having at least one sensor and at least one processor;
• wherein the at least one processor is configured to:
• load a first subset model of a collection of subset models that is configured to assign one of a plurality of class labels to input data, wherein the first subset model has at least two of the plurality of class labels based at least in part on a first context and wherein the model collection is stored at a first processing resource such that the sensor processing unit is discrete from the first processing resource;
• obtain a first set of data from the at least one sensor;
• output a class label for the first set of data from the first subset model;
• load at least one subsequent subset model of the stored model collection, wherein the at least one subsequent subset model has at least two of the plurality of class labels based at least in part on at least one subsequent context;
• obtaining at least one subsequent set of data from the at least one sensor of the sensor processing unit;
• and
• output a class label from the at least one subsequent subset model for the at least one subsequent set of data.

A sensor processing unit comprising:

• at least one sensor;
• and
• at least one processor;
• wherein the at least one processor is configured to:
• load a first subset model of a collection of subset models that is configured to assign one of a plurality of class labels to input data, wherein the first subset model has at least two of the plurality of class labels based at least in part on a first context and wherein the model collection is stored at a first processing resource such that the sensor processing unit is discrete from the first processing resource;
• obtain a first set of data from the at least one sensor;
• output a class label for the first set of data from the first subset model;
• load at least one subsequent subset model of the stored model collection, wherein the at least one subsequent subset model has at least two of the plurality of class labels based at least in part on at least one subsequent context;
• obtain at least one subsequent set of data from the at least one sensor of the sensor processing unit;
• and
• output a class label from the at least one subsequent subset model for the at least one subsequent set of data.