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Multi-Attitude Heading Reference System-based Motion-Tracking and Localization of a Person/Walking Robot
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 Title & Authors
Multi-Attitude Heading Reference System-based Motion-Tracking and Localization of a Person/Walking Robot
Cho, Seong Yun;
 
 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
IMU;AHRS;motion-tracking;localization;
 Language
Korean
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