Motion tracking has become everyday life in sports and implementations are commercially available to individuals. Yet, there is great lack in extension to team activities, where a group of people collectively train or compete for a common goal. We want to fix this and propose a solution that serves as the first step towards tracking a group of people and platform for statistics.

What it does

Our webapp will allow coaches manage multiple teams and to see biometric data in real time about all the members of the active team. We also computed the ne'e factor which allows us to tell at which state of fatigue the player is.

How we built it

  • We decided to do the data analysis in python, to allow us to calibrate the nee factor for the different players of our team.
  • Using Java to get the data from the sensors.
  • The web app is built in react to allow usage on all devices.
  • PubNub to post and retrieve the data

Challenges we ran into

  • Getting data, most of our work has been done on generated data to simulate the players

Accomplishments that we're proud of

  • Visually compelling UI, allows to quickly know which player is tired during the game and would need to change.
  • Ne'e factor that allows us to know the fatigue level of the user, based upon the activity and the BPM of the player.
  • Independent of the number of players

What we learned

There is a lot that can be done in team sport concerning sensor data.

What's next for Ne'e

  • Take over the world of course
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