1. A method for real-time signal classification, the method to be executable on a low-power processor, the method comprising: providing a managed bandwidth signal from an accelerometer sensor; establishing, by a processor, a time bound for executing steps in the method; windowing, by the processor, within the time bound, the managed bandwidth signal to produce an acceleration vector based on an acceleration model; performing, by the processor, within the time bound, feature computation using fixed point arithmetic on the vector to produce a model-compatible acceleration vector based on the acceleration model; projecting, by the processor, within the time bound, the model-compatible acceleration vector having a first multi-dimensional factor space onto a second multi-dimensional factor space where the second multi-dimensional factor space is smaller than the first multi-dimensional factor space to produce a lower dimensional factor vector; and evaluating, by the processor, within the time bound and using log representations, the lower dimensional factor vector against the acceleration model to produce a classification result.