In contact sports like rugby, detecting the seriousness of a concussion can help make a decision that will limit the behavioural impact of these “incidents”.
The detection process involves a protocol based on analytical tools that combine both kinetic and physical criteria (sensors placed on a reinforced scrum cap, chin guard and gum guard) and cognitive criteria (tests based on reaction times and the speed of information processing).
Two biases in this protocol are also the subject of additional research: how best to take into account any previous concussions? And how to ensure that all players can carry out the tests regardless of their culture or native language?
As well as the immediate utility in terms of decision making for the health of the player, all of the data collected must be used to raise awareness and train those involved in prevention and protection. But also and above all to determine the predictors of concussions using artificial intelligence.