Development of a mobile sensor system for detection and feedback of barrel muzzle movements during dry training in biathlon (EmoSensBia)

Third party funded individual grant


Acronym: EmoSensBia

Start date : 01.08.2020

End date : 30.04.2021


Project details

Scientific Abstract

The complex biathlon performance consists of the components running speed, shooting stand stay (shooting stand and shooting time), and the shooting result together. Competition analyses of the last years show that the hit rate continuously increased. At the 2014 and 2018 Winter Olympics, all Placed on the podium with hit rates of over 95%. This trend continues unabated. The shooting performance of German athletes in high performance and follow-up training shows in this comparison reserves, especially with regard to the consistency of biathlon shooting in competitions, and the to the season's highlight.


Within the scope of this project, a mobile and affordable sensor system for the detection of muzzle movements can be developed. This could enable all biathletes in the future to be DSV's high-performance sports system that can benefit from technical support for dry training. The measurement system will consist of an inertial measurement unit (IMU) and a smartphone app. The IMU is attached to the rifle barrel by a special holder during training and measures the movement of the muzzle of the barrel. In the course of the training, the data collected in this process are transmitted wirelessly and in real-time to the smartphone and evaluated there. 


The system is designed to provide feedback on the current action directly during practice as well as feedback on the muzzle stability at the end of training in the period shortly before the shot is fired. These values should not only be recorded in dry training, but also in training and competition mode, in order to be able to compare the values in dry training with the complex biathlon performance. By analyzing the values in the longitudinal section, individual training effects can be identified and training recommendations can be derived accordingly. 

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