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Sensors 2009, 9(11), 8508-8546; doi:10.3390/s91108508
Article

Classifying Human Leg Motions with Uniaxial Piezoelectric Gyroscopes

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Received: 10 August 2009; in revised form: 21 September 2009 / Accepted: 28 September 2009 / Published: 27 October 2009
(This article belongs to the Special Issue Motion Detectors)
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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.
Keywords: gyroscope; inertial sensors; motion classification; Bayesian decision making; rule-based algorithm; least-squares method; k-nearest neighbor; dynamic time warping; support vector machines; artificial neural networks gyroscope; inertial sensors; motion classification; Bayesian decision making; rule-based algorithm; least-squares method; k-nearest neighbor; dynamic time warping; support vector machines; artificial neural networks
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Tunçel, O.; Altun, K.; Barshan, B. Classifying Human Leg Motions with Uniaxial Piezoelectric Gyroscopes. Sensors 2009, 9, 8508-8546.

AMA Style

Tunçel O, Altun K, Barshan B. Classifying Human Leg Motions with Uniaxial Piezoelectric Gyroscopes. Sensors. 2009; 9(11):8508-8546.

Chicago/Turabian Style

Tunçel, Orkun; Altun, Kerem; Barshan, Billur. 2009. "Classifying Human Leg Motions with Uniaxial Piezoelectric Gyroscopes." Sensors 9, no. 11: 8508-8546.



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