Hand gesture dataset based on sEMG data captured from the Technaid human-robot interaction system
Main Author: | Mendes, Nuno; Neto, Pedro |
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Format: | info dataset Journal |
Terbitan: |
, 2018
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Subjects: | |
Online Access: |
https://zenodo.org/record/1325173 |
Daftar Isi:
- Two files with a dataset of five different/independent hand gestures are provided. The data were generated in a sEMG system with two bracelets (eight sEMG sensors and six sEMG sensors) worn in the right forearm of a human. The Technaid human-robot interaction system was used to captured the data. The file "datasetForSegmentation.mat" was used to train a classifier whose purpose is the execution of Segmentation process. On the other hand, the file "datasetForRecognition.mat" was used to train a classifier whose purpose is the execution of gesture Recognition process.