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Human bipedal walking is symmetrical, stable and efficiency optimal. To clarify the essential relationship in human gait, accelerometers and rate gyroscopes are mounted on waist and lower extremities of subject to acquire kinematics information during walking. By employing Principal Component Analysis (PCA), kinematics signals of one side are reconstructed using that of opposite side. The reconstructed...
Gait analysis is an important part of intelligent prosthesis researching. The automatic segmentation and classification of gait kinematic signal could help intelligent prosthesis to get better control performance. Much feature extraction method was employed by researchers, but it could still be improved. The wavelet based filter is adopted in this paper to segment the gait kinematics data, and LDA/SVM...
In order to increase the elevators running efficiency and quality of service, the optimizing control strategy of elevators is studied. In this paper a new hybrid control method which optimizes passenger service in an elevator group is described. It is capable of optimizing the neural-controller based on Particle Swarm Optimization (PSO) of an elevator group controller. Starting from the operation...
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