Pengembangan Alat Tes Spinning Iron Untuk Latihan Kecepatan Pukulan Ukm Beladiri Upgri

Development of Spinning Iron Tool for Martial Arts Punch Speed ??Training. Faculty of Social Sciences and Sports Education. PGRI University in Semarang. 2021. This research is motivated by players who are less interested in participating in training, because the training system is too ordinary so that they feel bored and there is no multifunctional tool that can be used for martial arts. Therefore, the researcher aims to develop a spinning iron tool for training the speed of a martial arts stroke as a multifunctional training aid that can be used for martial arts training. This research is a research development or Research and Development (R&D). This research was conducted in several steps, namely: potential problems, data collection, product design, design validation, design revision, product testing, product revision, usage testing. The development of the spinning iron tool for martial arts stroke speed training was previously validated by material experts, media experts and 6 athletes for small-scale trials, 20 large-scale trial athletes. The subject of this research is the UKM martial arts, University of PGRI Semarang. Data collection techniques used in this study using an instrument in the form of a questionnaire. The data analysis technique of this research is descriptive qualitative and percentage descriptive quantitative. The results showed that the spinning iron tool was very suitable to be used as a game sports training aid. These results were obtained from the latest validation results of a) material expert at 87.5% or very feasible; b) media experts 95% or very feasible; c) field trial athletes of 90.2% or very feasible. Thus, the conclusion is that the spinning iron tool for martial arts stroke speed training has been declared very suitable for use as a martial arts training aid.

The Effect of Martial Arts Training on Cognitive and Psychological Functions in At-Risk Youths

The current study assessed whether an extended program of martial arts training was a viable intervention for at-risk youths in improving cognitive and psychological functions. Adolescent boys attending specialized education facilities for at-risk youths took part in regular sport lessons or martial arts practice twice a week for 6 months. Hormonal reactivity was assessed during initial training, and measures of psychological (aggression, self-esteem) and cognitive (inhibition, flexibility, speed of processing, and attention) functions were assessed before and immediately following the intervention. Participants in the martial arts training demonstrated significant improvement in the domains of inhibition and shifting and speed of processing. Additionally, initial hormonal reactivity (oxytocin and cortisol) to the intervention predicted significant post-intervention change on several measures of cognitive and psychological functioning. Specifically, oxytocin reactivity predicted improvement in processing speed, as well as reduction of aggression, whereas cortisol reactivity predicted increases in self-esteem. This pioneering, ecologically valid study demonstrates the initial efficacy of this enjoyable, readily available, group intervention for at-risk boys and suggests potential mechanisms that may mediate the process of change.

Martial Arts Training Prediction Model Based on Big Data and MEMS Sensors

In martial arts teaching and sports training, the accurate capturing and analysis of martial arts athletes’ posture is conducive to accurately judge sports postures, as well as correcting sports movements in a targeted manner, further improving martial arts athletes’ performance and reducing physical damage. The manufacturing level of MEMS sensors continues to improve, and status perception of assembly objects is becoming more and more abundant and accurate. The shape is small and can be worn, and data can be collected continuously without obstacles. The price is relatively low, the privacy protection is strong, and the advantages are clear and prominent. A considerable number of technicians choose to use MEMS sensors as the main tool for human behavior detection data collection. Therefore, this article designs multiple MEMS inertial sensors to form a human body lower limb capture device, and its core components are composed of accelerometer, gyroscope, and magnetometer. In order to make the obtained acceleration value, angular velocity value, and magnetometer value accurately reflect the movement state of the lower limb structure, different data fusion algorithms and magnetometer ellipsoid fitting calibration algorithms are studied to realize the calculation of the posture angle of each joint point and obtain martial arts posture big data. In addition, through big data analysis, this article designs a martial arts training performance and injury risk prediction model, which can provide guidance and suggestions for martial arts teaching tasks.