Training Science: Artificial Intelligence Can Predict Handball Goals

Status: 18.07.2022 16:43

In a venture with SG Flensburg-Handewitt, researchers from the University of Paderborn developed synthetic intelligence that may predict handball objectives. They additionally developed algorithms to scale back the danger of damage and enhance the athlete’s efficiency.

Mini-computers worn on the physique – wearable gadgets – have lengthy been a part of the principle gear in aggressive sports activities. The gadgets generate countless quantities of information and supply details about athletes’ health and stress ranges. But solely through the use of synthetic intelligence (AI) can the quantity of information obtained be used optimally. However, to this point, AI-powered information evaluation in aggressive sports activities has been restricted, even with worldwide skilled soccer heavyweights resembling Liverpool FC or Barcelona FC pioneering.

Injury threat and efficiency elements

“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 the corresponding information continues to be far-off. Baumeister’s crew and his colleague from Paderborn, enterprise informatics specialist Prof. Dr. Oliver Müller, along with the skilled handball crew 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” efficiency

In addition, Paderborn researchers have even developed a man-made intelligence that may predict targets! As described by Flensburg athletics coach Michael Doering, “particular person performances [der] Players have been “digital”. But how does it work? Called AI, PIVOT makes use of sensors that document the place of gamers and the ball each 50 milliseconds to independently acknowledge motion patterns. Using the obtained information, the AI ​​can predict the likelihood of scoring a aim within the subsequent few seconds.

Target likelihood calculated in actual time

“PIVOT lets you calculate the likelihood of scoring or conceding a aim in actual time. If you evaluate this likelihood earlier than and after a sure sport, you may measure how good or unhealthy this sport was and the gamers’ choices based mostly on it,” says information evaluation skilled Muller. explaining the precept. His Paderborn colleague Baumeister added: “Quantitative measures of efficiency are a great foundation for finding out connections such because the nervous system. It gives beneficial insights into the state and actions of gamers.”

For now, solely the ball-carrying participant is in focus

So far, Paderborn’s analysis crew has solely evaluated the habits of gamers carrying the ball. According to Baumeister, the extension can present further readability to gamers who do not have the ball. For every state of affairs, the distinction between the expected very best habits and the precise habits may also be calculated.

In any case, SG Flensburg-Handewitt coach Mike Machulla sees utterly new potentialities and higher assist in every day coaching and video games from the brand new findings of “modern information processing”.

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