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

<div>Example of the extracted features calculated from the EMG signal recorded on a single channel. The figure reveals that MAV and RMS features, in this case, almost overlap, but other features contain complementary information regarding EMG signal.</div>

Complexity

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Figure 3

Figure 3: Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals 