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Sensors 2016, 16(11), 1847; doi:10.3390/s16111847

Wearable IMU for Shoulder Injury Prevention in Overhead Sports

1
Electrical and Computer Engineering, University of Michigan, Dearborn, MI 48128, USA
2
Athletic Training and Rehabilitation Sciences, University of Kentucky, Lexington, KY 40536-0200, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Panicos Kyriacou
Received: 11 August 2016 / Revised: 21 October 2016 / Accepted: 26 October 2016 / Published: 3 November 2016
(This article belongs to the Collection Sensors for Globalized Healthy Living and Wellbeing)
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Abstract

Body-worn inertial sensors have enabled motion capture outside of the laboratory setting. In this work, an inertial measurement unit was attached to the upper arm to track and discriminate between shoulder motion gestures in order to help prevent shoulder over-use injuries in athletics through real-time preventative feedback. We present a detection and classification approach that can be used to count the number of times certain motion gestures occur. The application presented involves tracking baseball throws and volleyball serves, which are common overhead movements that can lead to shoulder and elbow overuse injuries. Eleven subjects are recruited to collect training, testing, and randomized validation data, which include throws, serves, and seven other exercises that serve as a large null class of similar movements, which is analogous to a realistic usage scenario and requires a robust estimator. View Full-Text
Keywords: wearable technology; inertial measurement unit; shoulder; injury prevention wearable technology; inertial measurement unit; shoulder; injury prevention
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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. (CC BY 4.0).

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MDPI and ACS Style

Rawashdeh, S.A.; Rafeldt, D.A.; Uhl, T.L. Wearable IMU for Shoulder Injury Prevention in Overhead Sports. Sensors 2016, 16, 1847.

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