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

Figure 11

Optimization of the parameters. The chart shows that there is no clear advantage of using high number of segments per movement as in lot of cases even one segment is enough to achieve the highest classification accuracy. The same conclusion could be made for the number of AR samples as having only one previous sample available for making prediction could lead to high accuracy.