Abstract
Vertical jump activity is a measurement of an athlete for different movements in sports required jumping. The analysis of this activity is subject to athlete’s capability to Drop Vertical Jump (DVJ) landing upon achieved optimal Vertical Jump Height (VJH). This article discusses applying smart sensing mechanisms for DVJ and VJH as assistive tools to analyze DVJ and VJH and provides biofeedback for athlete during DVJ for safe landing and VJH to reach desired target. While optimization of VJH is the primary target of any sport, DVJ causes injuries on lower extremity. Hence, appropriate vibrotactile feedback during DVJ allows injury prevention and smart watches as IoTs can be used for biofeedback visualization during VJH monitoring for performance enhancement. Thus, different smart sensing mechanisms are required to analyze lower extremity kinematics jointly with the influence of muscles during DVJ and VJH. In this research, Inertia Measurement Units (IMUs), vibrotactors, Qualisys Motion Capture System and Bio-capture system consisted of muscle activity measurement sensors are integrated for DVJ and VJH measurements. The overall system design presented allows athletes to customize and to re-configure for different sport regimes requirements involving different DVJ and VJH. Integrated low powered wearable IMUs, bio-capture system, vibrotactors and smart watch are cost effective and require little infrastructure with no influence on natural human movement due to their total weight less than 500 g. This chapter will give a comprehensive system architecture of wearable embedded devices for DVJ and VJH measurements and for biofeedback during DVJ and VJH.
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References
P.M. McGinnis, Introduction to Biomechanics of sport and Exercise, 2nd edn. (Human Kinetics, 2005), p. 3
R. Bartlett, Aspects of biomechanical analysis of sports performance, Chapter 5, in Sport Biomechanics: Reducing Injury and Improving Performance (Spon Press, 1999), p. 153
T.W. Nesser, W.L. Lee, The relationship between core strength and performance in division I female soccer players. J. Exerc. Physiol. Online 12, 21–28 (2009)
G.M. Cesar, C.L. Tomasevicz, J.M. Burnfield, Frontal plane comparison between drop jump and vertical jump: Implications for the assessment of ACL risk of injury. Sports Biomech. 15(4), 440–449 (2016)
E.J. Cowling, J.R. Steele, P.J. McNair, Effect of verbal instructions on muscle activity and risk of injury to the anterior cruciate ligament during landing. Br. J. Sports Med. 37(2), 126–130 (2003)
B.J. Munro et al., The intelligent knee sleeve: a wearable biofeedback device. Sens. Actuators B Chem. 131(2), 541–547 (2008)
F.R. Noyes, S.D. Barber-Westin, C. Fleckenstein, C. Walsh, J. West, The drop-jump screening test, difference in lower limb control by gender and effect of neuromuscular training in female athletes. Am. J. Sports Med. 33(2), 197–207 (2005)
J.A. Onate, K.M. Guskiewicz, S.W. Marshall, C. Giuliani, B. Yu, W.E. Garrett, Instruction of jump-landing technique using videotape feedback: altering lower extremity motion patterns. Am. J. Sports Med. 33(6), 831–842 (2005)
A.U. Alahakone, S.M.N. Arosha Senanayake, A real time vibrotactile biofeedback system for improving lower extremity kinematic motion during sports training, in Proceedings of the 2009 International Conference on Soft Computing and Pattern Recognition (SocPar), pp. 610–615, 4–7 Dec 2009. ISBN 978-0-7695-3879-2
C. Brockett, D. Morgan, U. Proske, Predicting hamstring strain injury in elite athletes. Med. Sci. Sports Exerc. 36, 379–387 (2004)
F. Zajac, Muscle coordination of movement: a perspective. J. Biomech. 26, 109–124 (1993)
M. Čoh1, M. Bračič, S. Peharec, P. Bačić, M. Bratić, M. Aleksandrović, Biodynamic characteristics of vertical and drop jumps. Acta Kinesiol. Univ. Tartu. 17, 24–36 (2011)
D. Khudson, Applying biomechanics in sports and rehabilitation, Chapter 12, in Fundamentals of Biomechanics (Springer, 2007), p. 245
Cypress Perform, http://www.cypress.com/?id=1573
T.E. Hewett et al., Biomechanical measures of neuromuscular control and valgus loading of the knee predict anterior cruciate ligament injury risk in female athletes. Am. J. Sports Med. 33, 492–501 (2005)
A.U. Alahakone, S.M.N. Arosha Senanayake, Improving lower extremity joint kinematics during jump landing using an automated vibrotactile biofeedback system. Int. J. Auton. Comput. (Inderscience Publishers) 2(1), 39–53 (2014)
U. Yahya, S.M.N. Arosha Senanayake, A.G. Naim, Intelligent integrated wearable sensing mechanism for vertical jump height prediction in female netball players, in Eleventh International Conference on Sensing Technology (ICST), Sydney, Australia, pp. 94–100. https://doi.org/10.1109/icsenst.2017.8304484. 978-1-5090-6526-4/17/$31.00 ©2017 Crown
C. Nongnapas, B. Rumpa, S. Sirod, S. Vitoon, Principal component analysis identifies major muscles recruited during elite vertical jump. Sci. Asia 39, 257–264 (2013)
M.F. Bobbert, A.J. Van Soest, Effects on muscle strengthening on vertical jump height: a simulation study. Med. Sci. Sports Exerc. 26, 1012–1020 (1994)
M.B.I. Raez, M.S. Hussain, F.M. Yasin, Techniques of EMG signal analysis: detection, processing, classification and applications. Biol. Proced. 8, 11–35 (2006)
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Arosha Senanayake, S.M.N., Naim, A.G. (2019). Smart Sensing and Biofeedback for Vertical Jump in Sports. In: Mukhopadhyay, S., Jayasundera, K., Postolache, O. (eds) Modern Sensing Technologies . Smart Sensors, Measurement and Instrumentation, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-319-99540-3_5
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DOI: https://doi.org/10.1007/978-3-319-99540-3_5
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