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Standard Dataset

sEMG dataset with respect to upper-limb positions

Citation Author(s):
Sejin Kim
Wan Kyun Chung
Submitted by:
Se Jin Kim
Last updated:
DOI:
10.21227/bg50-bz64
Data Format:
No Ratings Yet

Abstract

This dataset is for the performance verification of sEMG-based intention recognition algorithm with upper-limb position effect.

Instructions:

This dataset consists of raw sEMG dataset and label indices. You have to pre-process the data and extract the sEMG features.