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Tytuł pozycji:

Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat.

Tytuł:
Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat.
Autorzy:
Pueo B; University Institute for Computing Research, University of Alicante, 03690 Alicante, Spain.
Lopez JJ; Institute of Telecommunications and Multimedia Applications, Universitat Politècnica de València, 46022 Valencia, Spain.
Mossi JM; Institute of Telecommunications and Multimedia Applications, Universitat Politècnica de València, 46022 Valencia, Spain.
Colomer A; Institute for Research and Innovation in Bioengineering, Universitat Politècnica de València, 46022 Valencia, Spain.
Jimenez-Olmedo JM; Physical Education and Sport, University of Alicante, 03690 Alicante, Spain.
Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Jan 30; Vol. 21 (3). Date of Electronic Publication: 2021 Jan 30.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: Basel, Switzerland : MDPI, c2000-
MeSH Terms:
Resistance Training*
Smartphone*
Weight Lifting*
Biomechanical Phenomena ; Humans ; Reproducibility of Results ; Video Recording
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Grant Information:
GRE18-19 Universidad de Alicante
Contributed Indexing:
Keywords: algorithm; homography; image processing; instrument; reliability; smartphone; sports; training; validity
Entry Date(s):
Date Created: 20210212 Date Completed: 20210301 Latest Revision: 20210301
Update Code:
20240104
PubMed Central ID:
PMC7866505
DOI:
10.3390/s21030925
PMID:
33573170
Czasopismo naukowe
Velocity-based training is a contemporary method used by sports coaches to prescribe the optimal loading based on the velocity of movement of a load lifted. The most employed and accurate instruments to monitor velocity are linear position transducers. Alternatively, smartphone apps compute mean velocity after each execution by manual on-screen digitizing, introducing human error. In this paper, a video-based instrument delivering unattended, real-time measures of barbell velocity with a smartphone high-speed camera has been developed. A custom image-processing algorithm allows for the detection of reference points of a multipower machine to autocalibrate and automatically track barbell markers to give real-time kinematic-derived parameters. Validity and reliability were studied by comparing the simultaneous measurement of 160 repetitions of back squat lifts executed by 20 athletes with the proposed instrument and a validated linear position transducer, used as a criterion. The video system produced practically identical range, velocity, force, and power outcomes to the criterion with low and proportional systematic bias and random errors. Our results suggest that the developed video system is a valid, reliable, and trustworthy instrument for measuring velocity and derived variables accurately with practical implications for use by coaches and practitioners.
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