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Leg Motion Classification with Artificial Neural Networks Using Wavelet-Based Features of Gyroscope Signals
We extract the informative features of gyroscope signals using the discrete wavelet transform (DWT) decomposition and provide them as input to multi-layer feed-forward artificial neural networks (ANNs) for leg motion classification. Since the DWT is based on correlating the analyzed signal with a pr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274015/ https://www.ncbi.nlm.nih.gov/pubmed/22319378 http://dx.doi.org/10.3390/s110201721 |