Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Effects of the Selection of Deformation-related Variables on Accuracy in Relative Position Estimation via Time-varying Segment-to-Joint Vectors

시변 분절-관절 벡터를 통한 상대위치 추정시 변형관련 변수의 선정이 추정 정확도에 미치는 영향

  • Lee, Chang June (Mechanical Engineering, Hankyong National University) ;
  • Lee, Jung Keun (School of ICT, Robotics & Mechanical Engineering, Hankyong National University)
  • 이창준 (한경대학교 기계공학과) ;
  • 이정근 (한경대학교 ICT 로봇기계공학부)
  • Received : 2022.03.14
  • Accepted : 2022.05.16
  • Published : 2022.05.31
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Abstract

This study estimates the relative position between body segments using segment orientation and segment-to-joint center (S2J) vectors. In many wearable motion tracking technologies, the S2J vector is treated as a constant based on the assumption that rigid body segments are connected by a mechanical ball joint. However, human body segments are deformable non-rigid bodies, and they are connected via ligaments and tendons; therefore, the S2J vector should be determined as a time-varying vector, instead of a constant. In this regard, our previous study (2021) proposed a method for determining the time-varying S2J vector from the learning dataset using a regression method. Because that method uses a deformation-related variable to consider the deformation of S2J vectors, the optimal variable must be determined in terms of estimation accuracy by motion and segment. In this study, we investigated the effects of deformation-related variables on the estimation accuracy of the relative position. The experimental results showed that the estimation accuracy was the highest when the flexion and adduction angles of the shoulder and the flexion angles of the shoulder and elbow were selected as deformation-related variables for the sternum-to-upper arm and upper arm-to-forearm, respectively. Furthermore, the case with multiple deformation-related variables was superior by an average of 2.19 mm compared to the case with a single variable.

Keywords

Acknowledgement

본 연구는 한경대학교 2021년도 학술연구조성비의 지원에 의한 것임

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