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sEMG dataset with respect to upper-limb positions
- Citation Author(s):
- Submitted by:
- Se Jin Kim
- Last updated:
- Mon, 07/08/2024 - 15:59
- DOI:
- 10.21227/bg50-bz64
- Data Format:
- License:
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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.