NERYO-CHAGI KINEMATIC CHARACTERISTICS EVALUATION IN IMPACT SINGLE COMBATS BY EXAMPLE OF WTF TAEKWONDO VIA FEEDBACK TECHNOLOGIES

This article is dedicated to topical issues related to feedback information technologies. As of now, there is not enough research on the topic of studying the kinematic characteristics of athletes in full-contact martial arts using tracking feedback systems. Research methodology: To test the hypothesis concerning the practicability of modern information technologies application, there was held an experiment with WTF taekwondo martial arts athletes. The researchers examined 4 athletes: 2 highly qualified athletes (elite) and 2 sub-elite athletes. The GPS/LPS RealTrack System by Wimu Pro Spain, was chosen to record the motion parameters. Neryo-Chagi was randomly chosen to assess the kinematic characteristics (exploratory study). Neryo-Chagi was considered as an integral motor action, which consists of two types of movement: 1) swing and 2) shock movement (strike). Research results: At the moment of Neryo-Chagi strike, there is a linear increase in the angular velocity (degrees/sec) from low to maximum. When performing a swing and a shock movement (strike), the angular velocity (deg / s) is different. The maximum angular speed during the swing is observed when strikes the way they are in a fight are compared to the maximum, medium and slow intensity. Swing time (s) with elite athletes is higher compared to sub-elite ones, while the time to perform a strike movement does not differ. Elite athletes have higher maximum angular velocity during the swing and strike movement. Evaluation of the main motor actions of athletes, classified by kinematic characteristics, allows a new assessment of their effectiveness.  Article visualizations

APPLICATION OF MODERN INFORMATION TECHNOLOGIES OF FEEDBACK IN IMPACT MARTIAL ARTS ON THE EXAMPLE OF TAEKWONDO WTF

The article deals with topical issues related to the use of feedback information technologies. Since there are not so many studies on this topic, the review includes information on the example of other sports where research is already being carried out, as well as preliminary own research obtained on the example of athletes of percussion martial arts, taekwondo WTF. The study examines the main parameters of the kinematics of the movement of athletes, the study of which allows us to evaluate their effectiveness, and the magnitude of the impact, primarily when assessing the external side of the load. Feedback information technologies for continuous monitoring of motor activity are currently informative, reliable tools in the work of coaches, the information from which helps to plan the training process and carry out the continuous process of training an athlete both in different periods of the annual cycle and during the recovery period.  Article visualizations

Supernarrative country distribution.

The table shows the country distribution of all supernarratives and narratives. The bigger the square, the more articles from the monitored sources of a given country have been assigned to the narrative in question. The colour represents the distribution of articles in percentile across the narrative. Using percentile allows us to display each source country’s ranking within each narrative, despite the different numbers of monitored sources for each country.</p

Query. Keyword-based query.

To tackle the COVID-19 infodemic, we analysed 58,625 articles from 460 unverified sources, that is, sources that were indicated by fact checkers and other mis/disinformation experts as frequently spreading mis/disinformation, covering the period from 1 January 2020 to 31 December 2022. Our aim was to identify the main narratives of COVID-19 mis/disinformation, develop a codebook, automate the process of narrative classification by training an automatic classifier, and analyse the spread of narratives over time and across countries. Articles were retrieved with a customised version of the Europe Media Monitor (EMM) processing chain providing a stream of text items. Machine translation was employed to automatically translate non-English text to English and clustering was carried out to group similar articles. A multi-level codebook of COVID-19 mis/disinformation narratives was developed following an inductive approach; a transformer-based model was developed to classify all text items according to the codebook. Using the transformer-based model, we identified 12 supernarratives that evolved over the three years studied. The analysis shows that there are often real events behind mis/disinformation trends, which unverified sources misrepresent or take out of context. We established a process that allows for near real-time monitoring of COVID-19 mis/disinformation. This experience will be useful to analyse mis/disinformation about other topics, such as climate change, migration, and geopolitical developments.</div

Evolution of anti-vax narratives.

The timeline shows the spread over time of “anti-vax narratives,” “anti-mandatory vaccination narratives,” and “anti-vax conspiracy theories”. (TIF)</p

Evaluation results.

Results of the Precision, Recall and F1 evaluation of BERT classifier on test set.</p