EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization
Due to the increment in hand motion types, electromyography (EMG) features are increasingly required for accurate EMG signals classification. However, increasing in the number of EMG features not only degrades classification performance, but also increases the complexity of the classifier. Feature s...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2019-02-01
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| Rangatū: | Computation |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2079-3197/7/1/12 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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