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      • Department of Electrical and Electronics Engineering
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      Classifying human leg motions with uniaxial piezoelectric gyroscopes

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      Author
      Tunçel O.
      Altun, K.
      Barshan, B.
      Date
      2009
      Source Title
      Sensors
      Print ISSN
      14248220
      Volume
      9
      Issue
      11
      Pages
      8508 - 8546
      Language
      English
      Type
      Article
      Item Usage Stats
      121
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      Abstract
      This paper provides a comparative study on the different techniques of classifying human leg motions that are performed using two low-cost uniaxial piezoelectric gyroscopes worn on the leg. A number of feature sets, extracted from the raw inertial sensor data in different ways, are used in the classification process. The classification techniques implemented and compared in this study are: Bayesian decision making (BDM), a rule-based algorithm (RBA) or decision tree, least-squares method (LSM), k-nearest neighbor algorithm (k-NN), dynamic time warping (DTW), support vector machines (SVM), and artificial neural networks (ANN). A performance comparison of these classification techniques is provided in terms of their correct differentiation rates, confusion matrices, computational cost, and training and storage requirements. Three different cross-validation techniques are employed to validate the classifiers. The results indicate that BDM, in general, results in the highest correct classification rate with relatively small computational cost. © 2009 by the authors.
      Keywords
      Artificial neural networks
      Bayesian decision making
      Dynamic time warping
      Gyroscope
      Inertial sensors
      K-nearest neighbor
      Least-squares method
      Motion classification
      Rule-based algorithm
      Support vector machines
      Bayesian decision makings
      Dynamic time warping
      Inertial sensor
      K-nearest neighbors
      Least squares methods
      Motion classification
      Rule based algorithms
      Algorithms
      Costs
      Decision trees
      Digital storage
      Gyroscopes
      Inertial navigation systems
      Neural networks
      Pattern recognition
      Piezoelectricity
      Support vector machines
      Decision making
      Permalink
      http://hdl.handle.net/11693/22581
      Published Version (Please cite this version)
      10.3390/s91108508
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      • Department of Electrical and Electronics Engineering 3524
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