Cargando…
Collaborative sensorimotor intelligence: the scrum as a model
AIM: Using M-Rex, a rugby scrum simulator, we developed tools to describe scrummaging forces and to prevent accident. METHODS: We tested three groups of frontliners at national level. The simulator was passive or responded to the player(s) to simulate the reaction of opposite players. Sensors in the...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326315/ https://www.ncbi.nlm.nih.gov/pubmed/30687510 http://dx.doi.org/10.1136/bmjsem-2018-000407 |
_version_ | 1783386279588659200 |
---|---|
author | Wang, Danping Mahe, Gaël Fang, Junying Piscione, Julien Couvet, Serge Retiere, Didier Laporte, Sébastien Vidal, Pierre-Paul |
author_facet | Wang, Danping Mahe, Gaël Fang, Junying Piscione, Julien Couvet, Serge Retiere, Didier Laporte, Sébastien Vidal, Pierre-Paul |
author_sort | Wang, Danping |
collection | PubMed |
description | AIM: Using M-Rex, a rugby scrum simulator, we developed tools to describe scrummaging forces and to prevent accident. METHODS: We tested three groups of frontliners at national level. The simulator was passive or responded to the player(s) to simulate the reaction of opposite players. Sensors in the beam measured the force exerted by each of the players. Their movements were recorded with a Codamotion system. RESULTS: The force signals exhibited two phases: a transient phase, similar to a damped sinusoid with a dominant frequency around 5 Hz when the players scrummaged alone and with a wider range when playing together; then, a sustained phase could be decomposed in two components: a DC component remained stable whether frontliners played alone or together. In contrast, its variability decreased when the frontliners played together compared with when they played alone. As for the oscillations, the frontliners exhibited a large variability in their ability to synchronise their efforts during the sustained phase. The synchronisation between the hooker and the props was quite efficient, while it was always missing between two props. Finally, we were able to study postural readjustments and their synchronisation among players during the sustained phase. CONCLUSION: This study shows that by using adequate methods, it is possible to assess the frontline collective intelligence. These findings may pave the way for innovative methods of training to improve players’ collective behaviour. |
format | Online Article Text |
id | pubmed-6326315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-63263152019-01-25 Collaborative sensorimotor intelligence: the scrum as a model Wang, Danping Mahe, Gaël Fang, Junying Piscione, Julien Couvet, Serge Retiere, Didier Laporte, Sébastien Vidal, Pierre-Paul BMJ Open Sport Exerc Med Original Article AIM: Using M-Rex, a rugby scrum simulator, we developed tools to describe scrummaging forces and to prevent accident. METHODS: We tested three groups of frontliners at national level. The simulator was passive or responded to the player(s) to simulate the reaction of opposite players. Sensors in the beam measured the force exerted by each of the players. Their movements were recorded with a Codamotion system. RESULTS: The force signals exhibited two phases: a transient phase, similar to a damped sinusoid with a dominant frequency around 5 Hz when the players scrummaged alone and with a wider range when playing together; then, a sustained phase could be decomposed in two components: a DC component remained stable whether frontliners played alone or together. In contrast, its variability decreased when the frontliners played together compared with when they played alone. As for the oscillations, the frontliners exhibited a large variability in their ability to synchronise their efforts during the sustained phase. The synchronisation between the hooker and the props was quite efficient, while it was always missing between two props. Finally, we were able to study postural readjustments and their synchronisation among players during the sustained phase. CONCLUSION: This study shows that by using adequate methods, it is possible to assess the frontline collective intelligence. These findings may pave the way for innovative methods of training to improve players’ collective behaviour. BMJ Publishing Group 2018-12-27 /pmc/articles/PMC6326315/ /pubmed/30687510 http://dx.doi.org/10.1136/bmjsem-2018-000407 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Original Article Wang, Danping Mahe, Gaël Fang, Junying Piscione, Julien Couvet, Serge Retiere, Didier Laporte, Sébastien Vidal, Pierre-Paul Collaborative sensorimotor intelligence: the scrum as a model |
title | Collaborative sensorimotor intelligence: the scrum as a model |
title_full | Collaborative sensorimotor intelligence: the scrum as a model |
title_fullStr | Collaborative sensorimotor intelligence: the scrum as a model |
title_full_unstemmed | Collaborative sensorimotor intelligence: the scrum as a model |
title_short | Collaborative sensorimotor intelligence: the scrum as a model |
title_sort | collaborative sensorimotor intelligence: the scrum as a model |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326315/ https://www.ncbi.nlm.nih.gov/pubmed/30687510 http://dx.doi.org/10.1136/bmjsem-2018-000407 |
work_keys_str_mv | AT wangdanping collaborativesensorimotorintelligencethescrumasamodel AT mahegael collaborativesensorimotorintelligencethescrumasamodel AT fangjunying collaborativesensorimotorintelligencethescrumasamodel AT piscionejulien collaborativesensorimotorintelligencethescrumasamodel AT couvetserge collaborativesensorimotorintelligencethescrumasamodel AT retieredidier collaborativesensorimotorintelligencethescrumasamodel AT laportesebastien collaborativesensorimotorintelligencethescrumasamodel AT vidalpierrepaul collaborativesensorimotorintelligencethescrumasamodel |