A noise reduction method for IMU and its application on handwriting trajectory reconstruction

Tse Yu Pan, Chih Hsuan Kuo, Min Chun Hu

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a trajectory reconstruction method based on a low-cost IMU (Inertial Measurement Unit), which is usually equipped in smartphones. The IMU used in our work consists of a 3-axis accelerometer and a 3-axis gyroscope, which can record information of acceleration and rotation, respectively. However, intrinsic bias and random noise cause unreliable IMU signals. Thus, to improve the accuracy of the reconstructed trajectory, we apply filtering methods to reduce high or low frequency noises of the signal. Moreover, the machine learning technique is utilized to detect the movement state of the smartphone. Also, instead of a simple threshold to detect the smartphone movement as implemented in previous related works, we extract multiple features from IMU signals and train a movement detection model based on the linear discriminant analysis (LDA) to increase the robustness of the system. Finally, a 'reset switch' mechanism is used to more effectively restrain the accumulated error of the accelerometer.

原文English
主出版物標題2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509015528
DOIs
出版狀態Published - 2016 九月 22
事件2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016 - Seattle, United States
持續時間: 2016 七月 112016 七月 15

出版系列

名字2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016

Other

Other2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
國家United States
城市Seattle
期間16-07-1116-07-15

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition

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