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Bidirectional Removal of Reverse Gravitational Acceleration Based on Data Segmentation

In this paper, we propose a method called bidirectional removal of the reverse gravitational acceleration algorithm based on data segmentation. The stationary points are used as the endpoint to segment the motion data to avoid inter-segmentation accumulation of error in the angular velocity integration process. Then the bidirectional angle method is presented to remove the reverse gravitational acceleration in each data segment. Our method is able to improve the accuracy of the linear acceleration. The results indicate that our method outperforms the exiting methods.