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- Citation Author(s):
-
Yinfeng Fang
- Submitted by:
- Yinfeng Fang
- Last updated:
- DOI:
- 10.21227/H28364
- Research Article Link:
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Abstract
The published sEMG database was captured by the Intelligent System and Biomedical Robotics Group at University of Portsmouth, leaded by Prof. Honghai Liu.
Six subjects were volunteered for data capturing, and the sEMG data were captured in ten separate days. We manually separated the whole database into two parts: training dataset (the first 7 days) and testing dataset(the last 3 days). For each subject, two folders exist, one for training and the other for test.
The current folder contains 12 sub-folder titled as train_xxxx and test_xxxx, where xxxx indicates the name of the subjects.
The train_xxxx folder contains 16 files with segmented raw sEMG signal (i.e. Cxx_train.txt, where xx is the number of channel), feature file (X.txt, where TDAR feature were extracted) and label file (i.e y.txt).
The test_xxxx folder contains 16 files with segmented raw sEMG signal (i.e. Cxx_test.txt, where xx is the number of channel), feature file (X.txt, where TDAR feature were extracted) and label file (i.e. y.txt).
Instructions:
The published sEMG database was captured by the Intelligent System and Biomedical Robotics Group at University of Portsmouth, leaded by Prof. Honghai Liu.
Six subjects were volunteered for data capturing, and the sEMG data were captured in ten separate days. We manually separated the whole database into two parts: training dataset (the first 7 days) and testing dataset(the last 3 days). For each subject, two folders exist, one for training and the other for test.
The current folder contains 12 sub-folder titled as train_xxxx and test_xxxx, where xxxx indicates the name of the subjects.
The train_xxxx folder contains 16 files with segmented raw sEMG signal (i.e. Cxx_train.txt, where xx is the number of channel), feature file (X.txt, where TDAR feature were extracted) and label file (i.e y.txt).
The test_xxxx folder contains 16 files with segmented raw sEMG signal (i.e. Cxx_test.txt, where xx is the number of channel), feature file (X.txt, where TDAR feature were extracted) and label file (i.e. y.txt).
