1. A method for context sensing, comprising: determining if sensor data obtained via a plurality of sensors exceed a predetermined threshold; if the sensor data exceed the threshold, increasing a sampling rate of any of the plurality of sensors to obtain context data corresponding to a computing device; analyzing the context data to classify a context of the computing device; analyzing the context data to determine meaningful context data and meaningless context data; discarding the meaningless context data; and analyzing the meaningful context data to classify the context of the computing device via an offload engine.