3. The method of claim 1 , wherein said creating the sequence of synthesized poses comprises: constructing 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; comparing 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 identifying 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.
6. The method of claim 3 , wherein said creating the sequence of synthesized poses further comprises: identifying 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 said identifying a best neighbor feature vector for each of the plurality of samples of the query stroke comprises selecting one of the nearest neighbor feature vectors from each of the collections of nearest neighbor feature vectors.