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Multi-Sensor Inertial Measurement System for Analysis of Sports Motion

Zhang, Minmin (2015) Multi-Sensor Inertial Measurement System for Analysis of Sports Motion. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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A portable motion analysis system that can accurately measure body movement kinematics and kinetics has the potential to benefit athletes and coaches in performance improvement and injury prevention. In addition, such a system can allow researchers to collect data without limitations of time and location. In this dissertation, a portable multi-sensor human motion analysis algorithm is been developed based on inertial measurement technology. The algorithm includes a newly designed coordinate flow chart analysis method to systematically construct rotation matrices for multi-Inertial Measurement Unit (IMU) application. Using this system, overhead throwing is investigated to reconstruct arm trajectory, arm rotation velocities, as well as torque and force imposed on the elbow and shoulder. Based on this information, different motion features can be established, such as kinematic chain timing as demonstrated in this work. Human subject experiments are used to validate the functionality of the method and the accuracy of the kinematics reconstruction results. Single axis rotation rig experiments are used to shown that this multi-IMU system and algorithm provides an improved in accuracy on arm rotation calculation over the conventional video camera based motion capture system. Finally, a digital filter with switchable cut-off frequency is developed and demonstrated in its application to the IMU-based sports motion signals. The switchable filter method is not limited only to IMUs, but may be applied to any type of motion sensing technology. With the techniques developed in this work, it will be possible in the near future to use portable and accurate sports motion analysis systems in training, rehabilitation and scientific research on sports biomechanics.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairClark, Williamwclark@pitt.eduWCLARK
Committee MemberCole, Danieldgcole@pitt.eduDGCOLE
Committee MemberSharma, NitinNIS62@pitt.eduNIS62
Committee MemberMao, Zhi-Hongzhm4@pitt.eduZHM4
Date: 9 April 2015
Date Type: Publication
Defense Date: 21 July 2014
Approval Date: 9 April 2015
Submission Date: 10 August 2014
Access Restriction: 1 year -- Restrict access to University of Pittsburgh for a period of 1 year.
Number of Pages: 121
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Mechanical Engineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Sports motion analysis, Inertial Measurement Unit, Coordinate flow chart, kinematic chain, inverse dynamics, adaptive filtering
Date Deposited: 09 Apr 2016 05:00
Last Modified: 15 Nov 2016 14:23


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