Literature DB >> 31946115

Magnetometer-free Realtime Inertial Motion Tracking by Exploitation of Kinematic Constraints in 2-DoF Joints.

Daniel Laidig, Dustin Lehmann, Marc-Andre Begin, Thomas Seel.   

Abstract

Inertial Measurement Units (IMUs) are used to track the motion of kinematic chains in a wide variety of robotic and biomedical applications. However, inertial motion tracking is severely limited by the fact that magnetic fields are inhomogeneous in indoor environments and near electronic devices. Methods that use only accelerations and angular rates for orientation estimation yield no absolute heading information and suffer from heading drift. To overcome this limitation, we propose a novel method that exploits an orientation-based kinematic constraint in joints with two degrees of freedom (DoF), such as cardan joints, saddle joints, the human wrists, elbow or ankles. The method determines the relative heading of the joint segments in real time by minimization of a nonlinear cost function. A filter for singularity treatment ensures accurate tracking during motion phases for which the cost function minimum is ambiguous. We experimentally validate the method in metacarpophalangeal (MCP) joints between the palm and the fingers. Accurate relative orientation tracking is achieved continuously despite several singular motion phases and even though the heading components of the 6D orientations drift by more than 360 degrees within ten minutes. The proposed method overcomes a major limitation of inertial motion tracking and thereby facilitates the use of this technology in robotic and biomechanical applications.

Entities:  

Year:  2019        PMID: 31946115     DOI: 10.1109/EMBC.2019.8857535

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

1.  Estimation of Relative Hand-Finger Orientation Using a Small IMU Configuration.

Authors:  Zhicheng Yang; Bert-Jan F van Beijnum; Bin Li; Shenggang Yan; Peter H Veltink
Journal:  Sensors (Basel)       Date:  2020-07-19       Impact factor: 3.576

2.  Inertial-Robotic Motion Tracking in End-Effector-Based Rehabilitation Robots.

Authors:  Arne Passon; Thomas Schauer; Thomas Seel
Journal:  Front Robot AI       Date:  2020-11-27

3.  Body-Worn IMU Human Skeletal Pose Estimation Using a Factor Graph-Based Optimization Framework.

Authors:  Timothy McGrath; Leia Stirling
Journal:  Sensors (Basel)       Date:  2020-12-02       Impact factor: 3.576

4.  Body-Worn IMU-Based Human Hip and Knee Kinematics Estimation during Treadmill Walking.

Authors:  Timothy McGrath; Leia Stirling
Journal:  Sensors (Basel)       Date:  2022-03-26       Impact factor: 3.576

5.  Supporting front crawl swimming in paraplegics using electrical stimulation: a feasibility study.

Authors:  Constantin Wiesener; Lotta Spieker; Jens Axelgaard; Rachel Horton; Andreas Niedeggen; Nikolaus Wenger; Thomas Seel; Thomas Schauer
Journal:  J Neuroeng Rehabil       Date:  2020-04-16       Impact factor: 4.262

6.  Gait Analysis in a Box: A System Based on Magnetometer-Free IMUs or Clusters of Optical Markers with Automatic Event Detection.

Authors:  Javier Marín; Teresa Blanco; Juan de la Torre; José J Marín
Journal:  Sensors (Basel)       Date:  2020-06-12       Impact factor: 3.576

7.  Reference in-vitro dataset for inertial-sensor-to-bone alignment applied to the tibiofemoral joint.

Authors:  Ive Weygers; Manon Kok; Thomas Seel; Darshan Shah; Orçun Taylan; Lennart Scheys; Hans Hallez; Kurt Claeys
Journal:  Sci Data       Date:  2021-08-05       Impact factor: 6.444

  7 in total

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