Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study
To directly compare five commonly used on-field systems (motorized linear encoder, laser, radar, global positioning system, and timing gates) during sprint acceleration to (i) measure velocity–time data, (ii) compute the main associated force–velocity variables, and (iii) assess their respective int...
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MDPI AG
2022-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/22/8610 |
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| author | Charly Fornasier-Santos Axelle Arnould Jérémy Jusseaume Benjamin Millot Gaël Guilhem Antoine Couturier Pierre Samozino Jean Slawinski Jean-Benoît Morin |
| author_facet | Charly Fornasier-Santos Axelle Arnould Jérémy Jusseaume Benjamin Millot Gaël Guilhem Antoine Couturier Pierre Samozino Jean Slawinski Jean-Benoît Morin |
| author_sort | Charly Fornasier-Santos |
| collection | DOAJ |
| description | To directly compare five commonly used on-field systems (motorized linear encoder, laser, radar, global positioning system, and timing gates) during sprint acceleration to (i) measure velocity–time data, (ii) compute the main associated force–velocity variables, and (iii) assess their respective inter-trial reliability. Eighteen participants performed three 40 m sprints, during which five systems were used to simultaneously and separately record the body center of the mass horizontal position or velocity over time. Horizontal force–velocity mechanical outputs for the two best trials were computed following an inverse dynamic model and based on an exponential fitting of the position- or velocity-time data. Between the five systems, the maximal running velocity was close (7.99 to 8.04 m.s<sup>−1</sup>), while the time constant showed larger differences (1.18 to 1.29 s). Concurrent validity results overall showed a relative systematic error of 0.86 to 2.28% for maximum and theoretically maximal velocity variables and 4.78 to 12.9% for early acceleration variables. The inter-trial reliability showed low coefficients of variation (all <5.74%), and was very close between all of the systems. All of the systems tested here can be considered relevant to measure the maximal velocity and compute the force–velocity mechanical outputs. Practitioners are advised to interpret the data obtained with either of these systems in light of these results. |
| first_indexed | 2024-03-09T18:01:12Z |
| format | Article |
| id | doaj.art-9c35b4cf859946b8bd0a62a1ea53c677 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T18:01:12Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9c35b4cf859946b8bd0a62a1ea53c6772023-11-24T09:52:55ZengMDPI AGSensors1424-82202022-11-012222861010.3390/s22228610Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison StudyCharly Fornasier-Santos0Axelle Arnould1Jérémy Jusseaume2Benjamin Millot3Gaël Guilhem4Antoine Couturier5Pierre Samozino6Jean Slawinski7Jean-Benoît Morin8Laboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, FranceLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, FranceLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, FranceLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, FranceLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, FranceLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, FranceInteruniversity Laboratory of Human Movement Sciences, Univ Savoie Mont Blanc, EA 7424, 73000 Chambéry, FranceLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, FranceLAMHESS, University Côte d’Azur, 06000 Nice, FranceTo directly compare five commonly used on-field systems (motorized linear encoder, laser, radar, global positioning system, and timing gates) during sprint acceleration to (i) measure velocity–time data, (ii) compute the main associated force–velocity variables, and (iii) assess their respective inter-trial reliability. Eighteen participants performed three 40 m sprints, during which five systems were used to simultaneously and separately record the body center of the mass horizontal position or velocity over time. Horizontal force–velocity mechanical outputs for the two best trials were computed following an inverse dynamic model and based on an exponential fitting of the position- or velocity-time data. Between the five systems, the maximal running velocity was close (7.99 to 8.04 m.s<sup>−1</sup>), while the time constant showed larger differences (1.18 to 1.29 s). Concurrent validity results overall showed a relative systematic error of 0.86 to 2.28% for maximum and theoretically maximal velocity variables and 4.78 to 12.9% for early acceleration variables. The inter-trial reliability showed low coefficients of variation (all <5.74%), and was very close between all of the systems. All of the systems tested here can be considered relevant to measure the maximal velocity and compute the force–velocity mechanical outputs. Practitioners are advised to interpret the data obtained with either of these systems in light of these results.https://www.mdpi.com/1424-8220/22/22/8610GPSlinear encoderforcevelocitysprint |
| spellingShingle | Charly Fornasier-Santos Axelle Arnould Jérémy Jusseaume Benjamin Millot Gaël Guilhem Antoine Couturier Pierre Samozino Jean Slawinski Jean-Benoît Morin Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study Sensors GPS linear encoder force velocity sprint |
| title | Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study |
| title_full | Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study |
| title_fullStr | Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study |
| title_full_unstemmed | Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study |
| title_short | Sprint Acceleration Mechanical Outputs Derived from Position– or Velocity–Time Data: A Multi-System Comparison Study |
| title_sort | sprint acceleration mechanical outputs derived from position or velocity time data a multi system comparison study |
| topic | GPS linear encoder force velocity sprint |
| url | https://www.mdpi.com/1424-8220/22/22/8610 |
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