18. The apparatus according to claim 13 , where, in being programmed to infer a hand pose type using the trained multiclass SVM, the processor is programmed to: detect at least one feature within a training image and the at least one input image; and perform a one-to-one mapping of instances of the at least one feature within the at least one input image with at least one label drawn from a finite set of elements.
13. An apparatus for hand position detection, comprising: a camera; and a processor programmed to: extract a feature set associated with hand gesture detection and hand pose inference from at least one input image received via the camera, the feature set including image pyramids; trigger scale invariant feature transforms (SIFT) feature extraction; calculate an optical flow path of a flock of features of the at least one input image; infer a hand pose type using a trained multiclass support vector machine (SVM); and approximate the hand pose using inverse kinematics (IK) optimization.