Latest projects

Football Lab

Football Lab is an interactive football-traning platform located in Herning, Denmark. The platform is developed by the Alexandra Institute and Munin Sports. In this sub-project, I have used the platform as a tool for exploring opponent formats in computer-supported physical games in collaboration with Majken K. Rasmussen. We have designed a game mechanics framework that aims to elucidate how the perception of a competition differs, depending on the opponent format. In the next part of the project, we will utilize the Football Lab, in order to create new computer-supported physical games that can be used in technical football training. We are currently developing games that seek to improve players peripheral vision and their ability to create an overview of the field and "stay ahead" of the game, while still controlling the ball.

Ball Sports Training

In this project, we have instrumented an M-Station (see with piezo sensors in order to track the position and speed of impacting balls. The M-Station is a 270x270 cm frame strung with wire, and capable of returning any ball with 95% of its speed. By adding a projector and a screen, we have created a platform for development of interesting games for ball sports training. We hope to utilize this platform to help different ball sports practitioners, such as tennis players or handballers, to increase their technical skill level. The aim is to increase the quality of training in general, and enjoyment especially of repetitive training. However, the platform is not limited to sports training and holds possibilities for numerous additional applications.

Running Technique

In close relation with Club La Santa, we are trying to develop a device with the ability to measure different parameters in athletes' running technique in real-time outside a running lab. By measurring and recognizing these parameters, we hope to enable an opportunity for creating a interactive training device that can help runners improve their technical skill level and possibly reduce the number of injuries seen with inexperienced runners. We are currently experimenting with different prototypes, based on the Arduino platform. Important questions that is investigated in this research, besides how to sense the biomechanical parameters, are; what, when and how to interact in the dynamic and complex environment of a run.