摘要：
<jats:sec><jats:title>Background</jats:title><jats:p>Physical activity significantly influences health-related behaviors, encompassing physical and mental well-being. Physical activity has been linked to enhancing health behavior, mental health, and psychological resilience. The current study is based on participants who were active in physical activity to improve health and well-being.</jats:p></jats:sec><jats:sec><jats:title>Objectives</jats:title><jats:p>To examine the influences of physical activity on health behavior, mental health, and psychological resilience, considering the moderating role of quality of life.</jats:p></jats:sec><jats:sec><jats:title>Method</jats:title><jats:p>A thorough cross-sectional online survey was conducted from April 15, 2023, to October 15, 2023. The survey was comprehensive and lasted for six months. The online poll received more than one thousand responses under convenience sampling. The selection criteria for the study were above 21 years old, and participants were active in physical activity to improve health and well-being. The collected data were analyzed using appropriate statistical SPSS-25 and SmartPLS 4.0 software to investigate the proposed research paradigm.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>SEM results of model 1 (direct coefficients) show that PA has a positive effect on HeB, MeH, PsR, HeB on MeH, HeB on PsR. Out of six (in model 2), four moderating effects of QOL were significant, and two were statistically insignificant.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>It has been observed that the quality of life has a moderating role in the relationships between physical exercise and several aspects, such as psychological resilience, mental health, and health-related behavior. It is imperative to emphasize the importance of fostering consistent engagement in physical activity to cultivate a well-balanced and health-conscious way of life.</jats:p></jats:sec>
摘要：
This study conducted to examine the influence of sports events on tourists destination choice behaviour in China. The questionnaire was distributed both online and offline in the area surrounding City-A. The author through personal networks, including family and friends, as well as via WeChat group emails primarily disseminated online questionnaires. The findings reveal that 57.8% of respondents expressed a greater likelihood of attending large sports events, while 59.9% indicated an increased intention to travel to City-A in the future. The occurrence of large-scale sports events has played a significant role in establishing City A's brand and has contributed to fostering a sports-oriented cultural environment, which is appealing to tourists. The study also highlights that the decision-making process regarding tourists' destination choices influenced by the presence of large-scale sports events, affecting tourists behavioural patterns in selecting destinations.
摘要：
Aiming at improving the accuracy of motion gesture recognition and reducing the time-consuming recognition, this paper proposes an athlete's body motion gesture recognition method based on improved deep neural network. According to the movement characteristics and basic structural characteristics of the human body, the movement posture recognition standard is designed and set in the model. Collect athletes' human motion images, and perform motion image extraction, residual compensation, filtering, normalisation, and morphological processing. On this basis, the features of human motion images are extracted and fused. The recognition classifier is constructed based on the improved deep neural network, the fused feature vector is input into the classifier, and the recognition result is output. The results of the comparative experiment show that the proposed method has a high recognition rate and short overhead time only at 1.2 s.
作者机构：
[Jiangxi Yu] International Office, Guangzhou Academy of Fine Arts, Guangzhou, China;[Cheng Yan] College of Physical Education, Hunan City University, Yiyang, China;[Xianrong Liang; Qi Song] School of Art and Design, Guangdong University of Finance and Economics, Guangzhou, China
会议名称：
2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR)
会议时间：
08 December 2023
会议地点：
Tianjin, China
会议论文集名称：
2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR)
关键词：
stochastic differential equation;Fokker-Planck equation;intelligent tennis practicing device;data screening;precision test
摘要：
This Research focuses on the intelligent tennis practicing device design based on stochastic differential equations. By constructing the Fokker-Planck equation, we aim to test the accuracy of the algorithm and improve the precision of data feedback. We use the intelligent tennis practicing device of the Hong Kong Swallowsing Sports Technology Co., LTD., as the research object. By reading the data of simulated physical tennis through sensors, such as moving acceleration, angular velocity, and tennis rotation speed, we perform data selection and calculation to generate the virtual three-dimensional tennis trajectory and landing point in the tennis court. At the same time, we provide corresponding training guidance based on the athlete's performance and training needs to improve the training effect. This research provides a new method and approach for the design and accuracy verification of intelligent tennis practicing device.
