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Sensor-to-segment calibration is a critical step for motion reconstruction from inertial and magnetic measurement units (IMMUs). In this paper, a novel sensor-to-segment calibration protocol is proposed. The protocol consists of three stages that allow for in situ calibration. After the sensor units are attached to the body, predefined postures and movements are used for sensor calibration. Acceleration...
The estimation problem of the stress-strength reliability is investigated for a class of lifetime distribution based on record values. Some frequentist and Bayes estimators are derived for the stress-strength parameter, respectively. Finally, an examples is presented to illustrate the proposed methods by using Monte-Carlo method.
Expatiating on the important functions of the joint operation model in military emulation, discussing the causations of military operations based on UML, bringing forward dynamic frame class and the rule of the modeling, taking the eliminating fraise action in the attack campaign as the example to illuminating.
A joint reconstruction and segmentation model for hyperspectral data obtained from a compressive measurement system is proposed, and some preliminary tests are described. Although hyperspectral imaging (HSI) technology has incredible potential, its utility is currently limited because of the quantity and complexity of the data it gathers. Yet, often the scene to be reconstructed from the HSI data...
A noise data processing algorithm based on rigid structure matching for human motion capture (MoCap) is presented in this paper. The noise model is related to parts of human body, but not to trajectories of markers as most used in traditional approaches. Three issues are addressed in this method: rigid structure matching, semantic restriction and noise reduction, and they are three steps of data processing...
Intelligent prosthesis is a self-regulated robotic joint system. Iterative learning controller, ILC, is used to build up a decision-making expert system according to the repetition and periodicity in the motion of human prosthesis system. The historical data is used in ILC for optima control effect. As small error margin is permitted in prosthesis control, so the motion of human can be divided into...
An ensemble of correlated signals are often encountered in many applications of image processing, such as a set of face images of the same subject. In this paper, we propose a new model, called Joint Sparsity Model with Matrix Completion (JSM-MC), which extracts a common component, an innovation component, and a low-rank component from an ensemble of face images. These components have their respective...
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