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1 TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

1 2004

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Recognition of palm finger movements on the basis of EMG signals with the application of wavelets

Krysztoforski K., Wolczowski A., Będziński R., Helt K.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

2004

Vol. 8, No 2

269-280

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.