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Procedia Computer Science
Article . 2017 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Procedia Computer Science
Article
License: CC BY NC ND
Data sources: UnpayWall
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The deadlift form analysis system using Microsoft Kinect

Authors: Suputtra Sutthiprapa; Vajirasak Vanijja; Thanakrit Likitwon;

The deadlift form analysis system using Microsoft Kinect

Abstract

Abstract Weight training leads to muscle injury for inexperience exercise. The deadlift form is one of high risk posture of weight training. Therefore, the prevention of incorrect deadlift form needs an expert trainer. Some people are not be able to effort the private trainer cost. This research presents the deadlift form analysis system using Microsoft Kinect. Microsoft Kinect can be applied to detect the deadlift form with its full body motion capability the Chaffin’s biomechanical modeling. The Chaffin’s model is used to calculate two forces, compression force and shear force, on lumbosacral disc (L5/S1). Results of this research can help the people to practice the corrected deadlift form and reducing injuries on lumbosacral disc (L5/S1) using Microsoft Kinect. The accuracy of this system is 80.9%.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
gold