This study aimed to compare the force-velocity mechanical variables derived from high-speed video- and radar-based method during forward skating sprint in ice hockey. Thirteen elite female ice hockey players performed two 40-m forward skating sprints to determine, in the horizontal plane, maximal velocity reached (V), relative maximal theoretical force (F), maximal theoretical velocity (V), relative maximal power (P), linear slope of the force-velocity relationship (FV slope), maximal value of the ratio of force (RF) and index of force application technique (Drf). Two different high-speed video-based methods adding a time shift (ST-TS) or not (ST) were used and independently compared to the radar-derived method. ST and ST-TS showed significant mean differences (all < 0.002) compared to radar-derived processing for all variables except for V ( = 0.26) and V ( = 0.13) inferred from ST. In reference to radar-derived variables, ST-TS significantly induced lower values compared to radar of the main forward skating sprint determinants (P, F, RF and Drf) and overestimation for velocity variables (V and V). Correlations between ST or ST-TS and radar-derived methods ranged from for velocity variables to for force and power variables. Consequently, practitioners must be aware that using such high-speed video-based methods would permit to determine mechanical variables at the cost of much lower accuracy and reliability than the radar-derived method.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264440 | PMC |
http://dx.doi.org/10.3389/fbioe.2021.661744 | DOI Listing |
bioRxiv
April 2024
Herbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, California, USA.
Eye-tracking is an essential tool in many fields, yet existing solutions are often limited for customized applications due to cost or lack of flexibility. We present OpenIris, an adaptable and user-friendly open-source framework for video-based eye-tracking. OpenIris is developed in C# with modular design that allows further extension and customization through plugins for different hardware systems, tracking, and calibration pipelines.
View Article and Find Full Text PDFJ Sci Med Sport
September 2023
School of Applied Sciences, Edinburgh Napier University, UK. Electronic address:
Objectives: Understanding how injuries occur (inciting circumstances) is useful for developing etiological hypotheses and prevention strategies. The aims of this study were 1) to evaluate the feasibility of a method combining video and Global Positioning System data to estimate the speed and acceleration of activities leading to injuries and 2) to use this method to analyse the inciting circumstances leading to non-contact injuries.
Design: Retrospective descriptive study.
Ophthalmic Physiol Opt
November 2023
Departamento de Óptica, Farmacología y Anatomía, Universidad de Alicante, Alicante, Spain.
Purpose: This study presents a novel video-based eye-tracking system for analysing the dynamics of the binocular near-reflex response. The system enables the simultaneous measurement of convergence, divergence and pupillary size during accommodation and disaccommodation to aid the comprehensive understanding of the three-component near-reflex.
Methods: A high-speed (90 Hz) video-based eye tracker was used to capture changes in eye gaze and pupil radius in 15 participants in response to altering stimulus conditions.
Sensors (Basel)
June 2023
Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, University of Bologna, 85100 Potenza, Italy.
This paper explores the potential of a low-cost, advanced video-based technique for the assessment of structural damage to buildings caused by seismic loading. A low-cost, high-speed video camera was utilized for the motion magnification processing of footage of a two-story reinforced-concrete frame building subjected to shaking table tests. The damage after seismic loading was estimated by analyzing the dynamic behavior (i.
View Article and Find Full Text PDFBrain Sci
April 2023
Department of Macromolecular Science and Engineering, Case Western Reserve University, Cleveland, OH 44106-6090, USA.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!