Xiaoqing Hu¹, Yan Tang^1,2,*

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 783-793, 2022, DOI:10.32604/ijmhp.2022.018332

Abstract Objective: To explore the associations between physical education attendance and mental health indicators. Methods: Using data from the Global Student Health Survey, the frequency of physical education attendance, suicidality-related indicators, loneliness, bullying, and anxiety were all assessed using a standardized self-reported questionnaire. Multivariable logistic regression was used to estimate the association between physical education attendance and mental health-related indicators. Results: The study included 276,169 participants from 71 countries (47.3% males, aged 11–18 years old). After controlling for sex, age, food insecurity, close friends, physical activity, sedentary time, others’ help, and parents’ understanding, physical education attendance was not signifi- cantly associated… More >

Tamara al Shloul¹, Israr Akhter², Suliman A. Alsuhibany³, Yazeed Yasin Ghadi⁴, Ahmad Jalal², Jeongmin Park^5,*

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2389-2405, 2022, DOI:10.32604/cmc.2022.027007

Abstract E-learning approaches are one of the most important learning platforms for the learner through electronic equipment. Such study techniques are useful for other groups of learners such as the crowd, pedestrian, sports, transports, communication, emergency services, management systems and education sectors. E-learning is still a challenging domain for researchers and developers to find new trends and advanced tools and methods. Many of them are currently working on this domain to fulfill the requirements of industry and the environment. In this paper, we proposed a method for pedestrian behavior mining of aerial data, using deep flow feature, graph mining technique, and… More >

Tamara al Shloul¹, Madiha Javeed², Munkhjargal Gochoo³, Suliman A. Alsuhibany⁴, Yazeed Yasin Ghadi⁵, Ahmad Jalal², Jeongmin Park^6,*

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 149-161, 2023, DOI:10.32604/iasc.2023.026051

Abstract Due to the recently increased requirements of e-learning systems, multiple educational institutes such as kindergarten have transformed their learning towards virtual education. Automated student health exercise is a difficult task but an important one due to the physical education needs especially in young learners. The proposed system focuses on the necessary implementation of student health exercise recognition (SHER) using a modified Quaternion-based filter for inertial data refining and data fusion as the pre-processing steps. Further, cleansed data has been segmented using an overlapping windowing approach followed by patterns identification in the form of static and kinematic signal patterns. Furthermore, these… More >

Maamer Slimani^1,2,*, Nicola Bragazzi³, Amri Hammami², Hela Znazen⁴, Qian Yu^5,6, Zhaowei Kong⁶, Liye Zou⁵

International Journal of Mental Health Promotion, Vol.23, No.4, pp. 513-520, 2021, DOI:10.32604/IJMHP.2021.017639

Abstract The present study aimed to determine the effect of wearing a face mask during aerobic dance exercise on cognitive function, more specifically on attention, as well as on perceived exertion and mood states. Thirteen healthy college students (9 males and 4 females: mean age = 17.5 years, height = 1.72 m, weight = 71.00 kg) volunteered to participate in this study. They were randomized to perform aerobic dance exercise while wearing a cloth face mask or no mask or a control condition (sitting on a comfortable chair and reading information about the health benefits of aerobic dance exercise) on three separate occasions (with at least one week of… More >