The relationship of the individual psychological characteristics of athletes with the effectiveness of competitive activity

Ляшенко, Валентина Миколаївна; Kozhanova, Olga; Korzh, Evgeny

doi:10.15391/snsv.2020-1.014

Cited by 2 publications

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“…The degree of rotation in the air determines the score of the same difficult action. There are four types of landing movements: one foot, two feet, push-ups (including push-ups, one arm push-ups, and Vincent push-ups), and splits (including horizontal and vertical) [ 15 ].…”

Section: Motion Capture and Analysis Based On Deep Learningmentioning

confidence: 99%

The analysis of infrared high-speed motion capture system on motion aesthetics of aerobics athletes under biomechanics analysis

Qiu,

Guan,

Liu

2023

PLoS ONE

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This paper uses an infrared high-speed motion capture system based on deep learning to analyze difficult movements, which helps aerobics athletes master difficult movements more accurately. Firstly, changes in joint angle, speed of movement, and ground pressure are used to analyze the impact and role of motion fluency and completion based on a biomechanical perspective. Moreover, based on the existing infrared high-speed motion capture systems, the Restricted Boltzmann Machine (RBM) model is introduced to construct an unsupervised similarity framework model. Next, the motion data is reorganized based on three-dimensional information to adapt to the model’s input. Then, the framework performs similar frame matching to obtain a set of candidate frames that can be used as motion graph nodes. After the infrared high-speed motion capture system and inertial sensors are simultaneously applied to subjects, the multi-correlation coefficients (CMC) values of the hip, knee, and ankle angles are 0.94 ± 0.06, 0.98 ± 0.01, and 0.87 ± 0.09, respectively. The two systems show a high degree of correlation in the measurement results, and the knee joint is the most significant correlation. Finally, a motion graph is constructed to control its trajectory and adjust its motion pattern. The infrared high-speed motion capture system optimized for deep learning can extract features from human bone data and capture motion more accurately, helping trainers to fully understand difficult movements.

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Section: Motion Capture and Analysis Based On Deep Learningmentioning

confidence: 99%

The analysis of infrared high-speed motion capture system on motion aesthetics of aerobics athletes under biomechanics analysis

Qiu,

Guan,

Liu

2023

PLoS ONE

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“…Weakness of this relationship was also revealed, although according to experts it is not so significant in terms of indicators, it is the result at the main start (-0.53) and the best result of the season (-0.67). According to experts, the latest results are related to frustration and rigidity, which may affect immediately before the competition due to moving to another city or other climatic conditions [10].…”

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confidence: 99%

Definition of Gender Identity in Younger Age Groups of Women's Boxing

Konokh¹,

Vorontsov²

2021

PCS

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The article considers the means of determining gender identification of girls engaged in boxing and their impact on the training and competitive process. Purpose: to determine gender identification of qualified girls boxers. Material & Methods: the study involved qualified (participants, prize-winners, champions of local tournaments and championships of Ukraine in their age group) girls boxers 12-15 years old, who are engaged in the city children's and youth sports school. A total of 10 girls were interviewed, including 7 athletes aged 15 and 3 athletes aged 12 years, sports experience at the time of the study ranged from 3 to 5 years. Research methods used: S. Bem's method "masculinity - femininity"; Freiburg Personal Questionnaire (FPI) Masculinity Scale; analysis and generalization of literary sources; analysis of excerpts from the protocols of competitions and video viewing of semifinal, final matches of two championships of Ukraine; method of mathematical statistics. Results: it was determined that most girls (n = 9) with index values (IS) in the range from -0,348 (± 0.05) to 0,580 (± 0.05) belong to the androgynous type according to the S.Bem classification. Only one athlete (n = 1) with indicators (IS) -1,276 belongs to the masculine type according to the classification of S. Bem. Determination of masculinity signs using the FPI test showed the number of points scored from 4 (± 2) to 9 out of 14 possible. Conclusions: The study proved the dominance of androgynous and masculine types in various sports in general. The ratio of gender types between individuals engaged in martial arts and boxing is revealed. The data on the dominance of the androgenic type of personality in the younger age groups of women's boxing have been supplemented. For more productive training of gender types of physical and special boxing exercises and forecasting of competitive activity, it is necessary to study individual psychological qualities of a girl-boxer. It is advisable in the subsequent stages of long-term training to conduct repeated tests of girls boxers of this research group in order to determine the progress of masculinization by age and sports experience and sports qualifications.

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The relationship of the individual psychological characteristics of athletes with the effectiveness of competitive activity

Cited by 2 publications

References 0 publications

The analysis of infrared high-speed motion capture system on motion aesthetics of aerobics athletes under biomechanics analysis

The analysis of infrared high-speed motion capture system on motion aesthetics of aerobics athletes under biomechanics analysis

Definition of Gender Identity in Younger Age Groups of Women's Boxing

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