Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals

Figure 7

Optimization procedure flowchart. The main load of the optimization procedure is division of movements to segments. With a higher number of segments per movement, the Viterbi algorithm needs a large number of initial conditions for the model to converge to the global minimum instead of converging to a local minimum. This movement dividing method is not deterministic, resulting in slightly different models with every optimization run.