Leg Motion Classification with Artificial Neural Networks Using Wavelet-Based Features of Gyroscope Signals

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...

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Bibliographic Details
Main Authors: Billur Barshan, Birsel Ayrulu-Erdem
Format: Article
Language:English
Published: MDPI AG 2011-01-01
Series:Sensors
Subjects:
leg motion classification
inertial sensors
gyroscopes
accelerometers
discrete wavelet transform
wavelet decomposition
feature extraction
pattern recognition
artificial neural networks
Online Access:http://www.mdpi.com/1424-8220/11/2/1721/

Internet

http://www.mdpi.com/1424-8220/11/2/1721/

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