1. An apparatus to facilitate gesture recognition, comprising: a sensor array to acquire sensory data; pattern matching integrated circuit, including: a multitude of associative memory neurons, each neuron to store reference vector data corresponding to user gestures and compare incoming vector data with stored reference vector data by evaluating a distance between the incoming vector data and the stored reference vector data; and a pattern matching engine to receive data from one or more of the multitude of neurons indicating a best-fit category, the best-fit category being identified by a neuron category ID of a neuron with a closest distance between reference vector data of the neuron and the incoming vector data in comparison to determined distances between reference vectors of other neurons in the multitude of associative memory neurons and the incoming vector data; and gesture recognition logic to receive real time signals including the incoming vector data from the sensor array and to perform gesture recognition based on data received from the pattern matching engine, wherein the gesture recognition logic comprises pattern matching logic that comprises a sensor measurement module to record the sensory data from the sensory array; a training engine to identify a response of the sensor array in order to train for recognition of a body gesture, wherein the training engine is operable to train a pattern matching classifier by, at least in part, calculating a pairwise distance of training vectors to find a set of reference vectors and their corresponding influence area to represent a decision space; and classification logic to perform gesture classification.