<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Hicheur, Halim</dc:creator>
  <dc:creator>Chauvin, Alan</dc:creator>
  <dc:creator>Chassot, Steve</dc:creator>
  <dc:creator>Chenevière, Xavier</dc:creator>
  <dc:creator>Taube, Wolfgang</dc:creator>
  <dc:date>2017-09-27</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">The cognitive-motor performance (CMP), defined here as the capacity to rapidly use  sensory information and transfer it into efficient motor output, represents a major  contributor to performance in almost all sports, including soccer. Here, we used a  high-technology system (COGNIFOOT) which combines a visual environment  simulator fully synchronized with a motion capture system. This system allowed us to  measure objective real-time CMP parameters (passing accuracy/speed and response  times) in a large turf-artificial grass playfield. Forty-six (46) young elite soccer players  (including 2 female players) aged between 11 and 16 years who belonged to the same  youth soccer academy were tested. Each player had to pass the ball as fast and as  accurately as possible towards visual targets projected onto a large screen located  5.32 meters in front of him (a short pass situation). We observed a linear age-related  increase in the CMP: the passing accuracy, speed and reactiveness of players  improved by 4 centimeters, 2.3 km/h and 30 milliseconds per year of age,  respectively. These data were converted into 5 point-scales and compared to the  judgement of expert coaches, who also used a 5 point-scale to evaluate the same  CMP parameters but based on their experience with the players during games and  training. The objectively-measured age-related CMP changes were also observed in  expert coaches’ judgments although these were more variable across coaches and  age categories. This demonstrates that high-technology systems like COGNIFOOT  can be used in complement to traditional approaches of talent identification and to  objectively monitor the progress of soccer players throughout a cognitive-motor  training cycle.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/305952</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/305952/files/tau_eas.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0185460</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>PLOS ONE. - 2017, vol. 12, no. 9, p. e0185460</dc:source>
  <dc:subject>info:eu-repo/classification/udc/796</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Effects of age on the soccer-specific cognitive-motor performance of elite young soccer players: Comparison between objective measurements and coaches’ evaluation</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
