Abstract: A method, system and a computer program product for accurately predicting an output motion from a database of motion data based upon an input motion scenario are provided. A motion database is searched to find relevant existing motions. The selected motions, referred to as “root motions,” most likely do not meet exactly the input motion scenario, and therefore, they need to be modified by an algorithm. This algorithm derives a parametric representation of possible variants of the root motion in a GMP-like manner, and adjusts the parameter values such that the new modified motion satisfies the input motion scenario, while retaining the root motion's overall angular movement pattern and inter-joint coordination. The embodiment of the invention can accurately predict various human motions with errors comparable to the inherent variability in human motions when repeated under identical task conditions. The motions may be human or non-human such as other living creatures or robot motions.