Replay-Based Incremental Learning Framework for Gesture Recognition Overcoming the Time-Varying Characteristics of sEMG Signals.

In the case of a smaller time span between the initial training set and the test set, such as when the test set is from 6 and 7 days, the recognition rate still shows an increasing trend, but the initial recognition rate is higher and the overall recognition rate is also higher and more stable.

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The results show a decreasing trend in model accuracy as the time span increases.

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