NinaPro DB1
A public surface electromyography dataset for gesture recognition that contains sEMG signals and gesture annotations from multiple subjects, commonly used in research on cross-user generalization.
Timeline (last 90 days)
On the NinaPro DB1 dataset, experience replay achieves a final accuracy of 83.3% in the class-incremental drift scenario and limits the accuracy drop caused by forgetting to between 1.8% and 5.8%.
NinaPro DB1 is a widely used public benchmark dataset in the field of sEMG gesture recognition, containing a series of gestures performed by multiple subjects on multi-channel forearm electrodes, and its design naturally supports cross-subject evaluation.
All Facts (2)
On the NinaPro DB1 dataset, experience replay achieves a final accuracy of 83.3% in the class-incremental drift scenario and limits the accuracy drop caused by forgetting to between 1.8% and 5.8%.
50%UnverifiedNinaPro DB1 is a widely used public benchmark dataset in the field of sEMG gesture recognition, containing a series of gestures performed by multiple subjects on multi-channel forearm electrodes, and its design naturally supports cross-subject evaluation.
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