JÄTTI - Ice hockey technology research, development and innovation environment

The goal of the Ice Hockey Technology Research, Development and Innovation Environment (JÄTTI) project is to develop the ice hockey research and testing environment as part of Vuokatti's sport and training and education system and to produce measurement and analysis tools and models to support ice hockey sports and physical training.

Table of contents

Project duration
-
Core fields of research
Physical activity, health and wellbeing
Research areas
Vuokatti
Elite sport, data, and technology
Co-operation
JYU-Vuokatti, Kajaani University of Applied Sciences, Technology Research Center VTT
Faculty
Faculty of Sport and Health Sciences
Funding
European Union
Regional Council of Kainuu, Sotkamo municipality, VuokattiSport and the Ä¢¹½Ö±²¥. The project is a joint project implemented by JYU-Vuokatti, Kajaani University of Applied Sciences and Technology Research Center VTT, with 80% of the funding coming from the European Regional Development Fund (EAKR) coordinated by the Regional Council of Kainuu. The other financing of the JYU-Vuokatti sub-project consists of the financial contribution granted by the municipality of Sotkamo (2.97%) and VuokattiSport (1.62%) and the self-financing contribution of the Ä¢¹½Ö±²¥ (15.4%). JYU-Vuokatti's total budget for the duration of the project is 370,585 euros.

Project description

The project is partially financed by the European Union (EAKR), which is also financed by the municipality of Sotkamo and VuokattiSport. The main implementer is the Ä¢¹½Ö±²¥ and the sub-implementers are Kajaani University of Applied Sciences and Technology Research Center VTT Oy. The main goal of the project is to develop ice hockey measurement and analysis technology. 

The JÄTTI project consists of the following technical entities:

1. On the development of on-ice testing technology, where the testing is based on indoor positioning systems and with which the data can be analyzed automatically

2. Development of a digital tactical board, where the board developed using the indoor positioning system enables more accurate and visual feedback, especially for young junior players. 

3. Development of sport related research, which in this project starts with the development of skating biomechanics and force output measurement techniques.

4. Big data analysis, where machine learning is utilized in the analysis of large physics, load and game analysis materials.

Project team

Project leaders

Jarmo Piirainen

Jarmo Piirainen

Senior Researcher

Project members

Kim Lesch

Kim Lesch

Postdoctoral Researcher

Keijo Ruotsalainen

Coordinator
Ristomatti Paulin

Ristomatti Paulin

Research Assistant

External members

Kyösti Koskela

KAMK

Timo Kananen

VTT