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sEMG dataset with respect to upper-limb positions
- Citation Author(s):
- Submitted by:
- Wan Kyun Chung
- Last updated:
- Mon, 07/08/2024 - 15:59
- DOI:
- 10.21227/9bpx-7e95
- License:
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Abstract
This dataset is for robust sEMG-based intention recognition with respect to upper-limb positions.
Instructions:
This dataset deals with 5 different upper-limb positions from 11 subjects. Dataset consists of 5 trials and motion labels can be acquired from starting and ending indices. Post-processing such as feature extraction is necessary.
