Practice of Kangoo Jumps Fitness to improve female students' cardiorespiratory fitness

Mokrova, T.I.; Osipov, Aleksander; Kudryavtsev, M.D.; Nagovitsyn, Roman Sergeevich; Markov, K. K.

doi:10.15561/20755279.2019.0405

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…e STLPFV algorithm is used to obtain the action features of each segment of aerobics athletes' action videos, and then the k-neighbor algorithm is used to complete the motion feature modeling. When the aerobics player's action video is scored automatically, the FV code of the target aerobics athlete's action video is generated by the STLPFV algorithm [18]. Finally, the KNN distance between the action video of target aerobicsathletes and the action video of aerobics athletes with three different scores is classified, and the least-squares method is used for automatic scoring [19].…”

Section: Automatic Scoring Of Aerobics Athletes' Action Videomentioning

confidence: 99%

Research on Aerobics Training and Evaluation Method Based on Artificial Intelligence-Aided Modeling

Chen

2021

Scientific Programming

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Traditional aerobics training methods have the problems of lack of auxiliary teaching conditions and low-training efficiency. With the in-depth application of artificial intelligence and computer-aided training methods in the field of aerobics teaching and practice, this paper proposes a local space-time preserving Fisher vector (FV) coding method and monocular motion video automatic scoring technology. Firstly, the gradient direction histogram and optical flow histogram are extracted to describe the motion posture and motion characteristics of the human body in motion video. After normalization and data dimensionality reduction based on the principal component analysis, the human motion feature vector with discrimination ability is obtained. Then, the spatiotemporal pyramid method is used to embed spatiotemporal features in FV coding to improve the ability to identify the correctness and coordination of human behavior. Finally, the linear model of different action classifications is established to determine the action score. In the key frame extraction experiment of the aerobics action video, the ST-FMP model improves the recognition accuracy of uncertain human parts in the flexible hybrid joint human model by about 15 percentage points, and the key frame extraction accuracy reaches 81%, which is better than the traditional algorithm. This algorithm is not only sensitive to human motion characteristics and human posture but also suitable for sports video annotation evaluation, which has a certain reference significance for improving the level of aerobics training.

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Section: Automatic Scoring Of Aerobics Athletes' Action Videomentioning

confidence: 99%

Research on Aerobics Training and Evaluation Method Based on Artificial Intelligence-Aided Modeling

Chen

2021

Scientific Programming

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“…One of the main conditions for the full functioning of the human cardiovascular system are systematic physical exercises [10]. It is the sequence of performing physical activity in daily and weekly modes that ensures the transition of urgent adaptive reactions of the body to long-term adaptation to loads [11].…”

Section: Introductionmentioning

confidence: 99%

The system of daily self-monitoring of physical activity of youth in various move and energy modes

Nagovitsyn¹,

Osipov²,

Kudryavtsev³

2019

Proceedings of the 4th International Conference on Innovations in Sports, Tourism and Instructional Science (ICISTIS 2019)

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Objective of the study was develop a system for daily self-monitoring of the physical activity of young people in various move and energy modes and experimentally prove its effectiveness by increasing the level of physical health and body mass index of participants in the experiment. Organization and research methods: the study participants were 42 respondents aged 18 to 25 years old with a diagnosis of "obesity" based on the calculation of body mass index. The respondents of the experimental group in the training process, which lasted 4 months, carried out self-monitoring of individual move activity according to the daily methodological system proposed in the study. Which included the ranking of various types of physical exercises in various move modes for energy consumption in Kcal/min. Results: the implementation of the training process using copyright recommendations for the implementation of continuous daily self-monitoring of move activity of young people is reliably effective in improving their physical health. The obtained statistical results prove a positive effect in the work of the cardiovascular system of the body and improve the overall metabolism of the study participants. Conclusion. The study for the first time systematically presents the most common move modes of youth through their differentiation in energy burning in Kcal. Recommendations on the implementation of move activity of youth at home through the development of a special system of step exercises of various intensities are offered. The study will be useful to a wide range of specialists in the field of physical education and sports, fitness trainers, as well as athletes who are independently engaged in various physical exercises.

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Evaluation of Kangoo Jumps rebound exercise program: A prospective study of a general population

Russu

Pop

Feier

et al. 2022

Balneo and PRM Research Journal

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Introduction. The number of non-communicable diseases (NCDs) is in a constant rise, especially in the low and middle income countries. They could be highly prevented by implementing programs that will help in promoting health and changing harmful behaviors. The aim of this paper is to show that Rebound exercisesis a great example of such physical activity. Material and method. The study plan was designed to asses both physical and functional explorations, ultrasound scans, self-perception of body image and laboratory parameters for each patient. A total of 64 parameters were analyzed: 44 anthropometric parameters and 20 body composition parameters from 80 participants. The subjects were analyzed for a period of 6 months. Results and discussions. Parameters were analyzed at the beginning of the study (07.02.2019), after 3 months (25.05.2019) and at the end (26.09.2019). The results showed improvements in all utilized parameters. Conclusions. This study offers a novel perspective on Kangoo jumps practice. People with spine problems, diabetes, overweight levels, improved their health, got rid of back pain, lost weight and had a more toned body. Keywords: physical activity, overweight, harmful behaviors, non-communicable diseases

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Practice of Kangoo Jumps Fitness to improve female students' cardiorespiratory fitness

Cited by 3 publications

References 30 publications

Research on Aerobics Training and Evaluation Method Based on Artificial Intelligence-Aided Modeling

Research on Aerobics Training and Evaluation Method Based on Artificial Intelligence-Aided Modeling

The system of daily self-monitoring of physical activity of youth in various move and energy modes

Evaluation of Kangoo Jumps rebound exercise program: A prospective study of a general population

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