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Multi-Attitude Heading Reference System-based Motion-Tracking and Localization of a Person/Walking Robot

다중 자세방위기준장치 기반 사람/보행로봇의 동작추적 및 위치추정

  • Received : 2015.09.18
  • Accepted : 2015.11.23
  • Published : 2016.01.01

Abstract

An Inertial Measurement Unit (IMU)-based Attitude and Heading Reference System (AHRS) can calculate attitude and heading information with long-term accuracy and stability by combining gyro, accelerometer, and magnetic compass signals. Motivated by this characteristic of the AHRS, this paper presents a Motion-Tracking and Localization (MTL) method for a person or walking robot using multi-AHRSs. Five AHRSs are attached to the two calves, two thighs, and waist of a person/walking robot. Joints, links, and coordinate frames are defined on the body. The outputs of the AHRSs are integrated with link data. In addition, a supporting foot is distinguished from a moving foot. With this information, the locations of the joints on the local coordinate frame are calculated. The experimental results show that the presented MTL method can track the motion of and localize a person/walking robot with long-term accuracy in an infra-less environment.

Keywords

References

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