In a mission with SG Flensburg-Handewitt, researchers from the University of Paderborn developed synthetic intelligence that may predict handball targets. They additionally developed algorithms to cut back the danger of damage and enhance the athlete’s efficiency.
Mini physique computer systems—wearable units—have lengthy been a staple of aggressive sports activities. The units generate limitless quantities of information and supply details about athletes’ health and stress ranges. But solely by utilizing synthetic intelligence (AI) can the quantity of information obtained be used optimally. However, to date, AI-powered information evaluation in aggressive sports activities has been restricted, even with worldwide skilled soccer heavyweights comparable to Liverpool FC or Barcelona FC pioneering.
Injury danger and efficiency components
“The information was systematically recorded within the German handball league for 2 years,” explains prof. Jochen Baumeister, Head of the Working Group on Learning and Neuroscience on the University of Paderborn. However, widespread use of correspondingly obtained information remains to be far-off. Baumeister’s staff and his colleague from Paderborn, enterprise informatics specialist Prof. Dr. Oliver Müller, along with the skilled handball staff SG Flensburg-Handewitt, a number one European membership, investigated how using algorithms can cut back the danger of damage and enhance the efficiency of athletes.
AI “quantifies” productiveness
In addition, Paderborn researchers have even developed a synthetic intelligence that may predict targets! As described by Flensburg athletics coach Michael Doering, “particular person performances [der] Players had been “digital”. But how does it work? PIVOT, known as AI, makes use of sensors that report the place of gamers and the ball each 50 milliseconds to autonomously acknowledge motion patterns. Using the acquired information, the AI can predict the chance of scoring a objective within the subsequent few seconds.
Target chance calculated in actual time
“PIVOT means that you can calculate the chance of scoring or conceding a objective in actual time. If you examine this chance earlier than and after a sure sport, you possibly can measure how good or unhealthy this sport was and the gamers’ choices based mostly on it,” says information evaluation professional Muller. explaining the precept. His Paderborn colleague Baumeister added: “Quantitative measures of efficiency are an excellent foundation for finding out connections such because the nervous system. It gives priceless insights into the state and actions of gamers.”
For now, solely the ball-carrying participant is in focus
So far, Paderborn’s analysis staff has solely evaluated the habits of gamers carrying the ball. According to Baumeister, the extension can present further readability to gamers who haven’t got the ball. For every state of affairs, the distinction between the anticipated absolute best habits and the precise habits may also be calculated.
In any case, SG Flensburg-Handewitt coach Mike Machulla sees fully new prospects and higher assist in each day coaching and video games from the brand new findings of “modern information processing”.