DEICTIC: A compositional and declarative gesture description based on hidden markov models.

•Declarative composition of HMMs for recognizing stroke gestures.•Support for sub-gestures identification and prediction.•Supports the implementation of feedback and feedforward with an effert comparable to heurist approaches, together with a definition procedure and accuracy comparable to machine learning approaches.•High accuracy in recognising composite gestures training only the primitives.