Swimmer behaviour detection model based on ultra-wide band technology and target detection algorithm

The application of computer and artificial intelligence in the field of sports is becoming more and more extensive, in order to better understand the technical movements and sports status of swimmers, the study builds a model for detecting the behaviour of athletes. Firstly, an ultra-wideband technology is proposed to use the technology to locate the swimmers with high accuracy, and the position information of the athletes is acquired in real time by installing tags on the athletes. Then a target detec tion algorithm is introduced to process the acquired image data to identify various behaviours of the athlete, and a swimmer behaviour detection model based on ultra-wideband technology and target detection algorithm is innovatively developed. Low positioning error and delay time are achieved by experimental testing, and the duration of the 11th path and the 8th path are shortened by 48.2% and increased by 50.7%, respectively, compared with the average delay time. The designed swimmer behaviour detection model based on ultra-wideband technology and target detection algorithm can achieve higher efficiency of behaviour analysis while accurate localisation, which is helpful for the intelligent development of sports.