| Autor: |
KRZYSZTOF KRYSZTOFORSKI, ANDRZEJ WOLCZOWSKI, ROMUALD BĘDZIŃSKI, KRZYSZTOF HELT |
| Jazyk: |
angličtina |
| Rok vydání: |
2004 |
| Předmět: |
|
| Zdroj: |
TASK Quarterly, Vol 8, Iss 2 (2004) |
| Druh dokumentu: |
article |
| ISSN: |
1428-6394 |
| Popis: |
The paper describes an EMG signal analysis based on the wavelet transform, applied for the hand prosthesis control. Signal features are represented by wavelet coefficients. A cross-validation method is applied for the feature selection process. The classification algorithm uses multistage recognition. The information about finger posture provided by a data glove is recorded concurrently with forearm EMG signals. The acquired data are used to train the classification algorithm. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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