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Authors: Wangdo Kim 1 ; 2 ; Sean Kohles 3 ; 4 ; 5 ; Emir Vela 1 ; 2 and Victor Huayamave 6

Affiliations: 1 Ingeniería Mecánica, Universidad de Ingeniería y Tecnología -UTEC, Lima, Peru ; 2 Research Center in Bioengineering, Ingeniería Mecánica, Universidad de Ingeniería y Tecnología-UTEC, Lima, Peru ; 3 Kohles Bioengineering, Cape Meares, OR, U.S.A. ; 4 Division of Biomaterials & Biomechanics, School of Dentistry, and Department of Emergency Medicine, School of Medicine, Oregon Health & Science University, Portland, OR, U.S.A. ; 5 Department of Human Physiology and Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR, U.S.A. ; 6 Department of Mechanical Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL, U.S.A.

Keyword(s): Biosensors, Instantaneous Axis-Angle Representations, IMU Sensors, Inertial Measurement Units, Quaternions, Inverse Kinematics, Forward Kinematics, Instantaneous Axis of Rotation, Motion Tracking Sensors.

Abstract: Inertial kinetics and kinematics have substantial influences on human biomechanical function. A new algorithm for IMU-based motion tracking is presented in this work. This study combines recent developments in improved biosensor technology with mainstream motion-tracking hardware to measure the overall performance of human movement based on joint axis-angle representations of limb rotation. This study proposes an alternative approach to representing three-dimensional rotations using a normalized vector around which an identified joint angle defines the overall rotation, rather than a traditional Euler angle approach. Contrast the procedure of Euler angles with the procedure of Axis angle, Euler angles force the body to move along a certain route which it had arbitrarily chosen but which the body had not chosen; in fact, the body would not take any of its routes separately, though it would take all of them together in the most embarrassing manner-goal-directed behavior. But axis angle had no preconceived scheme as to the nature of the movements to be expressed. Although the axis-angle representation requires vector quotient algebra (quaternions) to define rotation, this approach may be preferred for many graphics, vision, and virtual reality software applications. Elbow flexion and extension motion was used to validate the analytical methods. The results suggest that the novel approach could reasonably predict a detailed analysis of axis-angle migration. The described algorithm could play a notable role in the biomechanical analysis of human joints and offers a harbinger of IMU-based biosensors which may assess the control of skilled manipulation. (More)

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Paper citation in several formats:
Kim, W.; Kohles, S.; Vela, E. and Huayamave, V. (2023). Validation of a Biomechanical Performance Assessment Platform Applying an Inertial-Bpased Biosensor and Axis Vector Computation. In Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support - icSPORTS; ISBN 978-989-758-673-6; ISSN 2184-3201, SciTePress, pages 93-100. DOI: 10.5220/0012157900003587

@conference{icsports23,
author={Wangdo Kim. and Sean Kohles. and Emir Vela. and Victor Huayamave.},
title={Validation of a Biomechanical Performance Assessment Platform Applying an Inertial-Bpased Biosensor and Axis Vector Computation},
booktitle={Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support - icSPORTS},
year={2023},
pages={93-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012157900003587},
isbn={978-989-758-673-6},
issn={2184-3201},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support - icSPORTS
TI - Validation of a Biomechanical Performance Assessment Platform Applying an Inertial-Bpased Biosensor and Axis Vector Computation
SN - 978-989-758-673-6
IS - 2184-3201
AU - Kim, W.
AU - Kohles, S.
AU - Vela, E.
AU - Huayamave, V.
PY - 2023
SP - 93
EP - 100
DO - 10.5220/0012157900003587
PB - SciTePress