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Sensors 2013, 13(12), 16065-16074; doi:10.3390/s131216065
Article

Detection of Illegal Race Walking: A Tool to Assist Coaching and Judging

1,* , 2
, 2
 and 3,4
Received: 3 October 2013; in revised form: 5 November 2013 / Accepted: 18 November 2013 / Published: 26 November 2013
(This article belongs to the Special Issue Wearable Gait Sensors)
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Abstract: Current judging of race walking in international competitions relies on subjective human observation to detect illegal gait, which naturally has inherent problems. Incorrect judging decisions may devastate an athlete and possibly discredit the international governing body. The aim of this study was to determine whether an inertial sensor could improve accuracy, monitor every step the athlete makes in training and/or competition. Seven nationally competitive race walkers performed a series of legal, illegal and self-selected pace races. During testing, athletes wore a single inertial sensor (100 Hz) placed at S1 of the vertebra and were simultaneously filmed using a high-speed camera (125 Hz). Of the 80 steps analyzed the high-speed camera identified 57 as illegal, the inertial sensor misidentified four of these measures (all four missed illegal steps had 0.008 s of loss of ground contact) which is considerably less than the best possible human observation of 0.06 s. Inertial sensor comparison to the camera found the typical error of estimate was 0.02 s (95% confidence limits 0.01–0.02), with a bias of 0.02 (±0.01). An inertial sensor can thus objectively improve the accuracy in detecting illegal steps (loss of ground contact) and, along with the ability to monitor every step of the athlete, could be a valuable tool to assist judges during race walk events.
Keywords: athletics; gait; inertial sensor; Olympics; step athletics; gait; inertial sensor; Olympics; step
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Lee, J.B.; Mellifont, R.B.; Burkett, B.J.; James, D.A. Detection of Illegal Race Walking: A Tool to Assist Coaching and Judging. Sensors 2013, 13, 16065-16074.

AMA Style

Lee JB, Mellifont RB, Burkett BJ, James DA. Detection of Illegal Race Walking: A Tool to Assist Coaching and Judging. Sensors. 2013; 13(12):16065-16074.

Chicago/Turabian Style

Lee, James B.; Mellifont, Rebecca B.; Burkett, Brendan J.; James, Daniel A. 2013. "Detection of Illegal Race Walking: A Tool to Assist Coaching and Judging." Sensors 13, no. 12: 16065-16074.



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