Daniel King

Daniel King
Swansea University | SWAN · Population Data Science

Master of Science

About

2
Publications
777
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5
Citations
Introduction
Skills and Expertise
Biomechanics
Sport Biomechanics
Exercise Science
Machine Learning
Applied Artificial Intelligence
Data Science
Education
January 2022 - November 2022
University of South Wales
University of South Wales
Field of study
  • Applied Data & AI
October 2020 - January 2022
Swansea University
Swansea University
Field of study
  • Sports Science
September 2017 - May 2020
Cardiff Metropolitan University
Cardiff Metropolitan University
Field of study
  • Sport & Exercise Science

Publications

Publications (2)
Figure 1. Angular kinematic conventions for a) the three stance leg...
Figure 2. Illustration of the typical angular kinematic profiles from...
Figure 3. Scatter plots for the relationships which were statistically...
Mean ± SD linear kinematics and spatiotemporal variables over the first...
Relationships between kinematic characteristics and ratio of forces during initial sprint acceleration
Article
Full-text available
  • Feb 2023
In track sprinting, acceleration performance is largely determined by the ability to generate a high ratio of forces (RF), but the technical features associated with this remain unknown. This study therefore investigated the relationships between selected kinematic characteristics and RF during the initial acceleration phase. Fourteen male sprinter...
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RF-vH profiles for all 14 sprinters (A-N) across the IA phase with...
LINEARITY OF THE RATIO OF FORCES-VELOCITY RELATIONSHIP IS NOT RELATED TO INITIAL ACCELERATION PERFORMANCE IN SPRINTING
Conference Paper
Full-text available
  • Sep 2021
The relationship between the linearity of the ratio of forces (RF)-horizontal velocity (vH) profile and initial acceleration (IA) performance was investigated in trained sprinters. Ground reaction force data from the IA phase of a maximal sprint from a block start were analysed. The coefficient of determination of the linear trendline fitted to fou...
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