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The SVM technique has good generalization capability for small-sample cases of classification. In essence, fault diagnosis is just a kind of classification. When SVM is applied to the fault diagnosis for circuit, SVM needs to be improved. As a result, a method of Synthesized SVM (SSVM) is proposed in this paper. The SSVM includes PCA and combined SVM (CSVM) we design. PCA can eliminate a lot of irrelevant...
Equable principal component analysis (EPCA) is a powerful technique of feature extracting. It can reduce a large set of correlated variables to a smaller number of uncorrelated components. Support vector machines (SVM) is a novel pattern classification approach. It is very efficient in solving clustering problems that are not linearly separable. This paper presents a method of expression recognition...
For more precise control of the FES-derived gait, the timing of specific gait phases is needed. With the information of when the legs are in each phase of gait, the quality of the gait during each phase can be assessed. The goal of this paper is to investigate potential use of machine learning techniques, in particular Support Vector Machine (SVM), and Force Sensitive Resistor (FSR) to detect discrete...
Human gait is a kind of dynamic biometrical feature which is complex and difficult to imitate, it is unique and more secure than static features such as password, fingerprint and face. In this paper, we present intelligent shoes for human identification under the framework of capturing and analyzing dynamic human gait. By utilizing this dynamic property we focus on the research idea of classifying...
An intelligent shoe-integrated system has been developed to measure both the pressure distribution under eight special plantar regions and the mean plantar pressure during a subject's normal walking. The system mainly consists of 8 force sensing resistors (FSRs) arranged under bony prominences of each foot, a main board based on microprocessor, and a radio frequency (RF) wireless communication module...
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