1. A method for state tracking based gesture recognition engine for a sensor system comprising the steps of: defining a plurality of sequential states of a finite-state machine, wherein the finite state machine is a first order Markov Model, determining a Sequence Progress Level (SPL) for each state, mapping a state probability distribution to an SPL on run-time, and utilizing the mapped SPL estimate as an output value of the sensor system, wherein a most likely state and/or a most likely state sequence is computed using a Viterbi Algorithm.