Page 60 - 《上海体育大学学报》2025年第8期

刘福元. 电子竞技场域中的人工智能：应用于训练、比赛和观赛的功能展望

application scenarios in recent years, investigating the convergence of e-sports and AI−along with analyzing
the practical applications, expected outcomes and underlying mechanisms of AI across various aspects of
e-sports−has become a key task. This endeavor is key to unlocking new opportunities for the development of
e-sports and driving the field towards greater intelligence. The role of AI in e-sports training is primarily seen in
assisting training, with three sub-functions: "acting as a training opponent", "simulating an opponent" and
"providing guidance". In the competition phase, AI assists referees with three sub-functions: "detecting program
vulnerabilities", "identifying cheating tools" and "voice monitoring and fake match identification". In the spectating
phase, AI aids in intelligent broadcasting with two sub-functions: "event production and broadcasting" and "game
progress generation and reporting". The gradual promotion and application of AI can provide a solid technological
foundation for advancing the development of e-sports and its industry in China, enabling it to reach higher levels.
Keywords：e-sports; artificial intelligence; assisted training; assisted refereeing; intelligent broadcasting
Author's address： School of Law, Dongbei University of Finance and Economics, Dalian 116025, Liaoning, China

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Characteristics of Exercise Load in Middle School Physical Education Class Based

on Non-Interference Intelligent Monitoring

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1
GUO Qiang ，CHEN Zhiqiang ，YANG Feng 3
Abstract：Objective This study explores the gender, grade, and characteristics of exercise load in middle school
physical education (PE) classrooms through non-interference intelligent monitoring, and examines the internal
relationship of factors affecting the standard-reaching rate of classroom exercise load. Methods A stratified cluster
sampling method was adopted, with four classes of students (89 males and 67 females) in the first and second
grades of a middle school in Ningbo city as well as 118 PE and health classes as the research objects. Relevant
factors on the standard-reaching rate of students' exercise load were collected and analyzed using questionnaire
surveys, testing methods, and other methods. Results ① The exercise load standard-reaching rate are better in
grand PE classes than in basketball classes, and are better than in track and field classes. ② There is a significant
difference in the exercise load in genders (t=1.682, P<0.05) and grades (t=−3.335, P<0.01), with boys higher than
girls and the eighth grade higher than the seventh grade. ③ The threshold for achieving 80% (OR =3.02,
80%
P<0.05) and 85% of exercise load (OR =4.33, P<0.05) is significantly lower for girls than for boys. At the
85%
threshold of 75% exercise load achievement rate, the probability of achieving the goal in eighth grade is
significantly higher than that in seventh grade (OR=6.91, P<0.05). Conclusions ① There is a significant difference
in standard-reaching rate of exercise load in different PE courses, genders and grades. ② There is no difference in
standard-reaching rate of exercise load among different physical fitness and weight levels; ③ The target rate of
exercise load reaches the level range of 80% or above, and the probability of male students achieving the target rate
higher than female students.
Keywords：physical education and health curriculum; exercise load; intelligent wearing; PE in middle schools;
non-interference intelligent monitoring
Authors' addresses： 1. Faculty of Sport Science, Ningbo University, Ningbo 315211, Zhejiang, China；
2. Hangzhou Jinsha Lake Experimental School, Hangzhou 310018, Zhejiang, China； 3. Zhenhai Gutang Middle
School, Ningbo 315299, Zhejiang, China

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