Human Body Structure Calibration Using Wearable Inertial Sensors
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This work proposes an inertial sensor-based human body structure parameters calibration methodology, aimed at being combined with a motion tracking and gesture recognition system in a virtual reality motion game context to reduce the player’s motion control learning time and improve the accuracy and ease of game operation. This proposed calibration protocol is based on the three-axis accelerometer outputs by wireless inertial sensors to calibrate user’s body parts length (including the forearm, upper arm, torso, shinbone, and whole leg) through four easy-to-perform static poses and a streamlined calibration procedure. Through this experiment, this calibration methodology proved to be a robust approach to calibrate physically normal users’ body parts length, with satisfactory calibration accuracy (overall 7.64% average calibration error rate). In addition, in order to make the calibration process more efficient, effective, and user-friendly, a calibration auxiliary system sample interface to facilitate users has been proposed in this thesis.
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Copyright © 2017 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2017
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li-humanbodystructurecalibrationusingwearable.pdf | 2023-05-05 | Public | Download |