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Year 2021, Volume: 39 Issue: 1, 97 - 109, 01.03.2021

Abstract

References

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  • [3] Henriksen, K., et al., Athlete mental health in the Olympic/Paralympic quadrennium: a multi-societal consensus statement. International Journal of Sport and Exercise Psychology, 2020. 18(3): p. 391-408.
  • [4] Rittweger, J., A. Kwiet, and D. Felsenberg, Physical performance in aging elite athletes-Challenging the limits of Physiology. Journal of Musculoskeletal and Neuronal Interactions, 2004. 4(2): p. 159.
  • [5] Carson, H.J., D. Collins, and J. Richards, Initiating technical refinements in high-level golfers: Evidence for contradictory procedures. European Journal of Sport Science, 2016. 16(4): p. 473-482.
  • [6] Vanrenterghem, J., et al., Training load monitoring in team sports: a novel framework separating physiological and biomechanical load-adaptation pathways. Sports Medicine, 2017. 47(11): p. 2135-2142.
  • [7] Kamar, A., Sporda yetenek, beceri ve performans testleri. 2003: Nobel.
  • [8] Özdemir Şahin, F. N., T. Altinok, and C. S. Aslan, Askeri Akademi Savaş Beden Eğitimi Programının Teknolojik İmkan ve Kaabiliyetler Açısından Analizi. Spormetre Beden Eğitimi ve Spor Bilimleri Dergisi, 2010. 8(4): p. 163-167.
  • [9] Balsalobre-Fernández, C., et al., The validity and reliability of a novel app for the measurement of change of direction performance. Journal of Sports Sciences, 2019. 37(21): p. 2420-2424.
  • [10] Wixted, A. J., et al., Measurement of energy expenditure in elite athletes using MEMS-based triaxial accelerometers. IEEE Sensors Journal, 2007. 7(4): p. 481-488.
  • [11] Yeşilyurt, B., et al., Evaluation of the Potential of the Internet of Things in Health Services with Multi Criteria Decision-Making Methods. Sigma: Journal of Engineering & Natural Sciences/Mühendislik ve Fen Bilimleri Dergisi, 2020. 38(3).
  • [12] Perš, J., et al., Observation and analysis of large-scale human motion. Human Movement Science, 2002. 21(2): p. 295-311.
  • [13] Harbili, E. and S. Aritan, Elit Haltercilerde Koparma Tekniğinin Karşilaştirmali Biyomekanik Analizi. Spor Bilimleri Dergisi, 2005. 16(3): p. 124-134.
  • [14] Caniberk, M., F. A. Sesli, and C. Çetin, Spor Biyomekaniğinde ve Üç Boyutlu Hareket Analizinde Sayısal Fotogrametrinin Kullanılması. Spor Hekimliği Dergisi, 2016. 51(4): p. 117-127.
  • [15] Yamauchi, J. and K. Koyama, Toe flexor strength is not related to postural stability during static upright standing in healthy young individuals. Gait & posture, 2019. 73: p. 323-327.
  • [16] Buśko, K., Biomechanical characteristics of amateur boxers. 2019.
  • [17] Worsey, M. T., et al., Inertial sensors for performance analysis in combat sports: A systematic review. Sports, 2019. 7(1): p. 28.
  • [18] Gharpure, C., et al., Cloud-based user interface augmentation. 2018, Google Patents.

Design and development of an upper extremity performance analysis system for combat sports

Year 2021, Volume: 39 Issue: 1, 97 - 109, 01.03.2021

Abstract

The purpose of this study is to develop a training and measurement system based on kinetic and kinematic parameters for combat sports that require upper extremity performance, such as boxing, judo, and karate. This system instantly measures strength, speed, and coordination parameters with cognitive stimuli. The parameters such as force applied against colored cognitive stimuli, reaction time given to stimuli, total training time determined by the coach during the training are saved instantly by the software and reported at the end of the training. As a result, it is ensured to follow sports performance with the kinetic and kinematic data obtained from sports efficiency, develop new training methods suitable for the athlete, determine the training program's effectiveness, and predict injury risk.

References

  • [1] Brukner, P., Clinical Sports Medicine: Injuries. 2017: McGraw-Hill Education (Australia) Pty Limited.
  • [2] Ayan, V. and O. Mülazimoğlu, Sporda yetenek seçimi ve spora yönlendirmede 8-10 yaş grubu erkek çocuklarının fiziksel özelliklerinin ve bazı performans profillerinin incelenmesi (Ankara Örneği). FÜ Sağ. Bil. Tıp Derg, 2009. 23(3): p. 113-118.
  • [3] Henriksen, K., et al., Athlete mental health in the Olympic/Paralympic quadrennium: a multi-societal consensus statement. International Journal of Sport and Exercise Psychology, 2020. 18(3): p. 391-408.
  • [4] Rittweger, J., A. Kwiet, and D. Felsenberg, Physical performance in aging elite athletes-Challenging the limits of Physiology. Journal of Musculoskeletal and Neuronal Interactions, 2004. 4(2): p. 159.
  • [5] Carson, H.J., D. Collins, and J. Richards, Initiating technical refinements in high-level golfers: Evidence for contradictory procedures. European Journal of Sport Science, 2016. 16(4): p. 473-482.
  • [6] Vanrenterghem, J., et al., Training load monitoring in team sports: a novel framework separating physiological and biomechanical load-adaptation pathways. Sports Medicine, 2017. 47(11): p. 2135-2142.
  • [7] Kamar, A., Sporda yetenek, beceri ve performans testleri. 2003: Nobel.
  • [8] Özdemir Şahin, F. N., T. Altinok, and C. S. Aslan, Askeri Akademi Savaş Beden Eğitimi Programının Teknolojik İmkan ve Kaabiliyetler Açısından Analizi. Spormetre Beden Eğitimi ve Spor Bilimleri Dergisi, 2010. 8(4): p. 163-167.
  • [9] Balsalobre-Fernández, C., et al., The validity and reliability of a novel app for the measurement of change of direction performance. Journal of Sports Sciences, 2019. 37(21): p. 2420-2424.
  • [10] Wixted, A. J., et al., Measurement of energy expenditure in elite athletes using MEMS-based triaxial accelerometers. IEEE Sensors Journal, 2007. 7(4): p. 481-488.
  • [11] Yeşilyurt, B., et al., Evaluation of the Potential of the Internet of Things in Health Services with Multi Criteria Decision-Making Methods. Sigma: Journal of Engineering & Natural Sciences/Mühendislik ve Fen Bilimleri Dergisi, 2020. 38(3).
  • [12] Perš, J., et al., Observation and analysis of large-scale human motion. Human Movement Science, 2002. 21(2): p. 295-311.
  • [13] Harbili, E. and S. Aritan, Elit Haltercilerde Koparma Tekniğinin Karşilaştirmali Biyomekanik Analizi. Spor Bilimleri Dergisi, 2005. 16(3): p. 124-134.
  • [14] Caniberk, M., F. A. Sesli, and C. Çetin, Spor Biyomekaniğinde ve Üç Boyutlu Hareket Analizinde Sayısal Fotogrametrinin Kullanılması. Spor Hekimliği Dergisi, 2016. 51(4): p. 117-127.
  • [15] Yamauchi, J. and K. Koyama, Toe flexor strength is not related to postural stability during static upright standing in healthy young individuals. Gait & posture, 2019. 73: p. 323-327.
  • [16] Buśko, K., Biomechanical characteristics of amateur boxers. 2019.
  • [17] Worsey, M. T., et al., Inertial sensors for performance analysis in combat sports: A systematic review. Sports, 2019. 7(1): p. 28.
  • [18] Gharpure, C., et al., Cloud-based user interface augmentation. 2018, Google Patents.
There are 18 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Uğur Fıdan This is me 0000-0003-0356-017X

Mehmet Yıldız This is me 0000-0003-3481-7775

İsmail Çalıkuşu This is me 0000-0002-6640-7917

Publication Date March 1, 2021
Submission Date April 23, 2020
Published in Issue Year 2021 Volume: 39 Issue: 1

Cite

Vancouver Fıdan U, Yıldız M, Çalıkuşu İ. Design and development of an upper extremity performance analysis system for combat sports. SIGMA. 2021;39(1):97-109.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/