13. The system of claim 10 , wherein to said create the sequence of synthesized poses, the computer device is further configured to: identify a collection of nearest neighbor feature vectors for each of the plurality of samples of the query stroke, wherein the collection of nearest neighbor feature vectors for each sample of the query stroke comprises two or more feature vectors for respective samples of one or more reference strokes that are most similar to the feature vector constructed for the sample of the query stroke; and wherein to said identify a best neighbor feature vector for each of the plurality of samples of the query stroke, one of the nearest neighbor feature vectors are selected from each of the collections of nearest neighbor feature vectors.
10. The system of claim 9 , wherein to said create the sequence of synthesized poses, the computer device is configured to: construct a feature vector for each of a plurality of samples of the query stroke, wherein the feature vector for each of the plurality of samples comprises trajectory data components that are dependent on trajectory data for one or more neighboring samples of the query stroke; compare the feature vector for each of the plurality of samples of the query stroke to feature vectors for a plurality of samples of one or more reference strokes; and identify a best neighbor feature vector for each of the plurality of samples of the query stroke from among the feature vectors for the plurality of samples of the one or more reference strokes.