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Computer aid assessment of muscular imbalance for preventing overuse injuries in athletes

Published: 26 November 2016 Publication History

Abstract

Practicing and playing a sport causes athletes' bodies to adapt to the movements they regularly perform. Unfortunately, this can cause muscle imbalances, which might impair performance or worse, cause an injury. It is always best to find the root cause of a muscle imbalance, and to make a precise effort to fix it. Muscle imbalance shouldn't be taken lightly-it could create bigger problems, from posture to spinal positioning, which can ultimately lead to issues in walking, sitting and even lying down, as time progresses. However, muscle imbalances can't be easily evaluated using X-rays, CT scans, or other high-tech devices. But it's possible to address the problem in other ways. In general, the "strong" muscle is measured against the "weaker" muscle. Using the infrared (IR) camera, Kinect can recognize users and track their skeletons in the field of view of the sensor. Kinect sensor can locate the joints of the tracked users in space and track their movements over time. This allows Kinect sensor to recognize people (postures) and follow their actions (movements). Hence, the primary aim of this research is to investigate patterns of muscle imbalance among athletes and evaluate those patterns based on the posture, balance, gait and movement variations using Kinect sensor. Ideally the expected outcome of this research would be a physically meaningful & robust method to identify the muscle imbalance of an athlete.

References

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McGinnis and P. Merton, "The Muscular System," Biomechanics of Sport and Exercise. Champaign, 2005.
[2]
Frank, Lardner and Page, "The assessment and treatment of muscular imbalance," The Janda Approach Hardback $64, Human Kinetics, Champlain, IL USA.
[3]
"Sports and Recreation Safety," Safe Kids USA, 2010.
[4]
P. Maffetone, "Muscle Imbalance, Part 1: A common, often undetected cause of aches, pains and disability," MAFFETONE, 2014.
[5]
V. Janda, "Muscles, central nervous regulation and back problems.," in In Neurobiological mechanisms in manipulative therapy, New York, 1978.
[6]
H. J. Christopher, "Clinical movement analysis to identify muscle imbalances and guide exercise," Human Kinetics, vol. 12, no. 04, pp. 10--14, 10 July 2007.
[7]
T. M. Nosek, "Essentials of Human Physiology: A Multimedia Resource for Physiology and Anatomy," Micron BioSystems, 1996.

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ICCIP '16: Proceedings of the 2nd International Conference on Communication and Information Processing
November 2016
272 pages
ISBN:9781450348195
DOI:10.1145/3018009
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 November 2016

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Author Tags

  1. athletes
  2. kinect sensor
  3. muscular imbalance

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ICCIP '16

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Overall Acceptance Rate 61 of 301 submissions, 20%

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