Parameter Testing and System of Skiing Aerial Skills under the Background of Artificial Intelligence

Abstract

Skiing aerial skills are a perfect combination of gymnastics tossing technology and skiing technology. It pursues technology and aesthetics in the process of completing the action, and is a sporting event with strong skills and high viewing. However, the training of ski aerial skills is more difficult, and there is no qualified training mode, which may be detrimental to the long-term development of the overall strength of ski aerial skills. Therefore, based on the shortcomings of the current stage, this paper proposed a ski aerial skill movement detection system. The system mainly assists the MTi sensor to obtain the sports shape parameters of the skier’s sports information and then analyzes the obtained data to find out the approximate data of each parameter when the skiing succeeds and fails, as well as the relationship between acceleration and speed. The experimental results showed that the maximum resultant acceleration and resultant velocity are obtained at the lowest point of the landslide. At a certain stage of the air, the resultant acceleration is always around 10 m/s2 due to gravity. The shoulder joint angle of the skier at the moment of introduction is about 163.2° for success and about 167.6° for failure. The inclination of the trunk is about 30.4° when the action is successful at the moment of landing, while the inclination of the trunk is about 38.4° when the action fails, and the angle of the hip joint in the successful and failed actions is about 138.5° and 153.8°, respectively.