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An automated calibration tool for high performance wireless inertial measurement in professional sports
Gaffney, Mark; Walsh, Michael; O'Flynn, Brendan; Ó Mathúna, S. Cian
Traditional motion capture techniques, for instance, those employing optical technology, have long been used in the area of rehabilitation, sports medicine and performance analysis, where accurately capturing bio-mechanical data is of crucial importance. However their size, cost, complexity and lack of portability mean that their use is often impractical. Low cost MEMS inertial sensors when combined and assembled into a Wireless Inertial Measurement Unit (WIMU) present a possible solution for low cost and highly portable motion capture. However due to the large variability inherent to MEMS sensors, such a system would need extensive characterization to calibrate each sensor and ensure good quality data capture. A completely calibrated WIMU system would allow for motion capture in a wider range of real-world, non-laboratory based applications. Calibration can be a complex task, particularly for newer, multi-sensing range capable inertial sensors. As such we present an automated system for quickly and easily calibrating inertial sensors in a packaged WIMU, demonstrating some of the improvements in accuracy attainable.
Keyword(s): Automated calibration; Wireless inertial measurement unit (WIMU); Inertial measurement unit (IMU); Professional sports; Wireless communication systems
Publication Date:
2011
Type: Conference item
Peer-Reviewed: Yes
Language(s): English
Institution: University College Cork
Funder(s): Science Foundation Ireland
Citation(s): Gaffney, M., Walsh, M., Flynn, B. O. and Ó Mathúna, S. C. (2011) 'An automated calibration tool for high performance Wireless Inertial Measurement in professional sports', SENSORS, 2011 IEEE, Limerick, Ireland, 28-31 October, pp. 262-265. doi: 10.1109/ICSENS.2011.6127263
Publisher(s): IEEE
File Format(s): application/pdf
Related Link(s): http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6127263
First Indexed: 2012-02-03 05:31:43 Last Updated: 2019-05-21 06:44:22