This study examined the relationship between “exercise passion”, sports confidence, exercise continuation intention, and the moderating effect of the coach’s support to provide basic data for Taekwondo players and instructors. A total of 428 data items were obtained using purposive sampling. Data were analyzed using frequency analysis, reliability analysis, correlation analysis, confirmatory factor analysis, structural equation model analysis, and moderating effect analysis via SPSS and AMOS version 24.0. It was found that “harmony passion” had a positive effect on all variables of sports confidence. Additionally, two variables of exercise passion had a positive effect on exercise continuation intention. Furthermore, sports confidence was identified as a variable that increased the intention to continue exercising. The coach’s support played a partial role as a moderating variable for exercise passion, sports confidence, and exercise continuation intention. It was concluded that the athlete’s passion for sports and sports confidence were important variables that increased Taekwondo athletes’ exercise continuation intention. Moreover, the active support and interest of a coach who is able to meet the athlete’s needs and exercise situation are also required.

(1)Background:The purpose of the study was conducted to investigate the recovery of heart rate according to the performance level and rest interval conditions during 65%1RM bench press exercise;(2)Methods:The subjects of this study were eight healthy male college studentsin their 20 (years) attending University C. 1RM was measured before theexperiment, and the exercise sequence of six rest intervals (30sec, 1, 2, 3, 4,5min) was randomly selected and cross-distribution experiment. The experimental measurement was conducted a total of six times according to the rest interval condition (six conditions) once every 3 days to minimize the learning effect. The data was verified with repeated measures Two-way ANOVA and Contrast's repeated method was applied for post-comparison;(3)Results: First, the amount of exercise and the number of repetitions statistically substantially dropped (p<.001) as the number of sets rose, and a greater decline was shown when the rest periods got shorter. Second, the heart rate after exercise was increased significantly (p<.01) as the set progressed in the long rest interval conditions (4, 5min), and the heart rate after rest was increased statistically significantly (p<,05) as the set progressed in the short rest interval conditions (30sec, 1min). Third, the heart rate recovery rate (%) was able to perform more repetitions than in the short rest interval condition due to the relatively high physiological recovery of the neuromuscular and circulatory system under the long rest interval condition;(4)Conclusions: Therefore, according to the rest conditionduring the 65%1RM bench press exercise conducted in this study, the restinterval condition of 2~3min may be effective in improving muscular endurance,and the rest interval condition of 4~5min may be effective in improving muscular hypertrophy. As a result of this study, there was a significant difference in exercise performance (repetition) and physiological recovery depending on the rest interval condition according to the set progress during the same intensity resistance exercise. Through this, it is judged that it is possible to adjust the amount of exercise appropriate for the purpose of training by adjusting not only the intensity during resistance exercise but also the rest interval between sets.

The purpose of this study was a pilot study to determine the performance level and physiologic responses (heart rate and heart rate recovery (%)) of six different rest interval conditions during the performance of seven sets of a 65% 1RM bench press exercise. Eight healthy male university students who were 20 years of age and enrolled at University C were tested. The subjects’ bench press 1RM was measured before the experiment, and they performed bench press exercises with six different rest intervals (30 s, 1 min, 2 min, 3 min, 4 min, and 5 min), which were randomized and crossed over. The experimental measurements were performed once a week and repeated six times per rest interval condition (six intervals) to minimize the learning effect for the subjects. A two-way repeated measures ANOVA was used to verify the data, post-comparison (contrast: repeat) was used to establish statistical significance, and the following results were obtained. First, the level of exercise performance (reps) between sets across the six rest interval conditions showed significant differences (p < 0.000) and high effect sizes (ES ≥ 0.70) across the rest interval conditions. In addition, more reps (in terms of volume) were performed in the relatively longer rest interval conditions. The number of reps over the progression of the sets also showed a significant difference (p < 0.000) for the shorter rest interval condition, with a high effect size (ES ≥ 0.64). There was also an interaction effect (p < 0.000) between the rest interval condition and the set, with the number of repetitions at the beginning of the set decreasing significantly as the set progressed for the relatively short rest interval condition, with a high effect size (ES ≥ 0.60). Second, there was no statistically significant difference in after-exercise heart rate among the rest interval conditions between sets, but the longer rest interval conditions of 4 and 5 min showed a significant difference (p < 0.005) as the set progressed, with a high effect size (ES ≥ 0.41). In each of the six rest interval conditions, heart rate levels were similar in sets 1 and 2 but increased from set 3 to set 7. Immediately after each bout of exercise, the resting heart rate according to rest interval condition was statistically highest in the shorter rest intervals (30 s, 1 min), with a high effect size (p < 0.020) and a high ES ≥ 0.39. Heart rate was also higher in the 2, 3, 4, and 5-min rest intervals, and increased significantly (p < 0.000) as the sets progressed, with a high effect size. Third, heart rate recovery (%) according to the rest interval condition between sets was significantly higher in the longer rest interval conditions (1, 2, 3, 4, and 5 min) than in the 30 s rest interval condition (p < 0.039), with a high effect size (ES ≥ 0.37). In addition, heart rate recovery in all rest interval conditions significantly decreased as the sets progressed (p < 0.05), with a high effect size (ES ≥ 0.37). Taken together, there were significant differences in performance levels (reps), physiological responses, and recovery between rest interval conditions during the equal-intensity resistance exercises in this study. Furthermore, the performance levels between rest interval conditions during the 65% 1RM bench press exercise in this study suggest that rest intervals of 2–3 min may be effective for improving muscular endurance, while rest intervals of 4–5 min may be effective for improving muscle hypertrophy. This suggests that manipulating the rest intervals between sets during resistance training at the same intensity may lead to better training outcomes.

In China, table tennis has always been one of the most popular sports, with small field restrictions and it is simple and fun to play. But what is unknown is that with China’s major table tennis events thriving, the psychological pressure of table tennis players’ training is also increasing. However, the existing training methods obviously do not pay enough attention to psychological training, and there is no complete system for psychological training. Although the current dynamic heart rate measurement method can play a certain role in the detection, there is still the disadvantage of low detection accuracy. The heart rate is an important sign of life, and the monitoring of the heart rate of table tennis players should be strengthened, reflecting the functional state of the athletes’ heart, and facilitating the more intuitive adjustment of the psychological training method of athletes. The heart rate measurement method based on face recognition contains a plate content that is rich. Through deep learning face recognition, the heart rate measurement method has high calculation efficiency, can effectively eliminate the influence of other external environmental factors, can use video recording, and can use face recognition and physiological parameters’ quantification to monitor athletes’ heart rate changes in real time; the visible artificial intelligence auxiliary diagnosis potential is huge. To this end, this paper aims to provide effective suggestions for the psychological training of table tennis players with deep learning as the technical support. In response to this, the aim of this paper was to design a deep learning-based face recognition heart rate measurement method that judges the psychological fluctuations of athletes through changes in heart rate. We conducted a questionnaire survey with the table tennis players of the Hunan team as the object of investigation, so as to understand the source of the psychological pressure of athletes and make reasonable suggestions. The experimental results of this paper show that the heart rate error of the video heart rate measurement algorithm is within 3% in the calm state and within 4% in the post-exercise state. This can effectively measure psychological fluctuations, and through investigation and research, it can provide an effective method for the psychological training of table tennis players.