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A Novel Method for Detecting Joint Angles Based on Inertial and Magnetic Sensors

机译:基于惯性和磁传感器的关节角检测新方法

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The development of various robotic and biomedical devices has raised demands for accurate, cheap and quick-responsive joint angle sensors. To address the problem, a novel system together with a computation method for joint angle sensing based on inertial and magnetic sensors has been proposed in this paper. This method utilizes a uniform gravitational field and a uniform magnetic field in space. Low-pass filter is applied to reduce the interference of high-frequency noise. The data are also calibrated using ellipsoidal calibration model. Then the system synthesizes the two filtered and calibrated data to calculate the angle between the arms of a joint. Compared to other existing methods, this method keeps a good accuracy while greatly reduces the cost and complexity of the system. One example of the implementation of this method is given in this paper. And the results of both static and dynamic measurement experiments validate the feasibility of the method.
机译:各种机器人和生物医学设备的发展提出了对精确,便宜和快速响应的关节角度传感器的需求。为了解决这个问题,本文提出了一种新颖的系统以及一种基于惯性和磁传感器的关节角度传感计算方法。该方法利用空间中的均匀重力场和均匀磁场。应用低通滤波器以减少高频噪声的干扰。数据也使用椭圆形校准模型进行校准。然后,系统将两个经过过滤和校准的数据进行合成,以计算关节的两臂之间的角度。与其他现有方法相比,该方法保持了良好的准确性,同时大大降低了系统的成本和复杂性。本文给出了实现该方法的一个示例。静态和动态测量实验的结果验证了该方法的可行性。

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