sEMG dataset with respect to upper-limb positions

Citation Author(s):
Sejin
Kim
Wan Kyun
Chung
Submitted by:
Wan Kyun Chung
Last updated:
Mon, 07/08/2024 - 15:59
DOI:
10.21227/9bpx-7e95
License:
Creative Commons Attribution
26 Views
Categories:
Artificial Intelligence
Signal Processing
Biomedical and Health Sciences
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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.

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