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In this paper we introduce a shoe-integrated system for human abnormal gait detection. This intelligent system focuses on detecting the following patterns: normal gait, toe in, toe out, oversupination, and heel walking gait abnormalities. An inertial measurement unit (IMU) consisting of three-dimensional gyroscopes and accelerometers is employed to measure angular velocities and accelerations of the...
Postural kyphosis as one of the most common kinds of kyphosis is usually diagnosed in adolescents and young adults. Long-term kyphosis will not only affect the persons' appearance, but also result in thoracic deformity accompanied by pain. In this paper, we introduce a cost-effective shoe-integrated system which mainly consists of 8 force sensing resistors (FSRs) for gathering the pressure information...
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...
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