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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...
This paper presents a method for modeling human abnormal gait using hidden Markov model under the framework of a shoe-integrated system. The intelligent system focuses on modeling the following patterns: normal gait, toe in and toe out gait abnormalities. In the developed prototype, an inertial measurement unit (IMU) consisting of three-dimensional gyroscopes and accelerometers is employed to measure...
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...
Aimed at solving the more and more serious problems of energy and pollution, hybrid electric vehicle (HEV) is one of the best practical applications for transportation with high fuel economy and low emission. Since the extent of improvement included with HEV greatly depends on selection of the operational parameters, simulated annealing (SA) algorithm is introduced to optimize the operational parameters...
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 facial feature. Analyzing people walking patterns, their "step-prints", can lead to the recognition of personal identity. In this paper, we propose to design, build, calibrate, analyze, and use wearable intelligent...
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...
Because of the inherent advantages, i. e. increased fuel economy, reduced harmful emissions and better vehicle performance, hybrid electric vehicles (HEV), powered by internal combustion engine (ICE) and energy storage, are being given more and more attention. Since the extent of HEV improvement greatly depends on selection of the control strategy parameters, particle swarm optimization (PSO) algorithm...
As a typical multi-objective optimization problem, parameter optimization of HEV power control strategy must deal with the conflict between objectives, as fuel consumption and emissions. Classical methods define the HEV parameter optimization as a single objective problem to minimize the fuel consumption. In this paper, the multi-objective genetic algorithm (MOGA) is generalized for parameter optimization...
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