Football is a sport that needs to combine the physical stamina and physical characteristics of athletes. It needs to pay attention to the differences in different individuals and then conduct targeted training. In this regard, this article introduces artificial intelligence technology into the teaching actions of football player training and analyzes the teaching elements according to the characteristics of the football player’s body. Through the analysis of fog computing under artificial intelligence, this article aimed to study the related effects of combining intelligent technology on the basis of athletes’ original training. This article proposes the establishment of a system model and quantitative analysis of different frames of football players’ movements. According to the combination of two-phase analysis, it can be concluded that after the introduction of artificial intelligence technology, the ability of football players in various indexes has increased by 20%.

This work is to develop an effective trunk support stability training program, thereby improving the quality of college physical education. First, the advantages and characteristics of trunk support stability training are analyzed under the physiological basis and biomechanical basis of trunk support stability training. Then, the trunk support stability training program is developed to train the stability, strength, and balance of the sprint athletes’ shoulder, trunk, and buttocks musculature, as well as the control ability of the limbs. Twenty undergraduates in the track and field sprint special class of Xi’an Physical Education University are recruited and rolled into experimental group and control group, each with 10 students, and trained for 8 weeks. Finally, functional movement screen (FMS), postshot throw, level-ten stepping tests, and sprint tests (30 m, 60 m, and 100 m) are performed. The results show that before the start of the experiment, there is no considerable difference in the score comparison between experimental group and control group in different test items ( P  > 0.05). After the experiment, the test scores of level-ten stepping, postshot throw, and 30 m, 60 m, and 100 m sprint of experimental group are remarkably different within the group ( P  < 0.05). In addition, the level-ten stepping and 60 m and 100 m sprint scores of experimental group and control group have great differences between the groups, indicating that the trunk support stability training program formulated in this work has a notable effect on college physically educated students.

It is very important and meaningful to improve college students' engineering consciousness and project practice ability in engineering graphics teaching, so that excellent engineers, who adapt to the development of economy and society, can be cultivated. Based on the research and analysis situation of the home and abroad in engineering graphics teaching, many methods to cultivate students' engineering consciousness are proposed, concrete measures include: constructing the teaching method system of case-based teaching technique; building the content system which begins with the three-dimensional configuration design as a starting point, lays equal stress on a variety of expression modes, emphasizes the cultivation of ability to freehand drawing and teaching of engineering application, and pays attention to practical teaching.