IMoV – 'Individual Load Monitoring for Injury Prevention in Soccer'

Within football, various tracking systems are available for individualized recognition of overload and / or injury prevention. However, these measurement systems are linked to specific hardware and in terms of load parameters often a "black box". They also do not automatically take the context into account (measurement protocol / training method used). This makes consistent data collection and "fair" tracking over time difficult, or analysis against reference data. This also complicates the continuation of load analysis of players when changing clubs, trainers or measuring systems; overload occurs over a longer period of time.

This project investigates the feasibility of developing a 'shell' over these measurement systems that (1) 'normalizes' the data in a measurement system-independent format, (2) keeps the data consistent via automatic segmentation, (3) automatically recognizes the context, and (4) making data transferable and comparable.

Goals

The proposed approach makes it much more possible to track an individual player's overload risk more accurately, automatically and continuously, regardless of specific ways of training and collecting data at a club. Influences from club and trainer changes will also be minimized and, more importantly, the fact that overload builds up cumulatively over longer periods will be taken into account optimally. The player is now central, not the hardware.

Partners

  • Moveshelf
  • Saxion
  • RRD
  • Universiteit Twente
  • FootballEquals Foundation
  • Heracles Almelo

Duration

May 1, 2020 till September 30, 2020.

More information

Tatiana Goering.jpeg

dr. Tatiana Goering-Zaburnenko

Docent/onderzoeker

06 - 2011 3941 LinkedIn

Financing

This project is financed by ZonMw.