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Abstrakty
Measuring, monitoring and analysis of dynamic movements in sports is becoming more important than ever. Many methods used currently may only be applied in the artificial environment of a laboratory. Other methods require too much processing to be used during a real-time competition. To overcome these difficulties acceleration measurements and a simple method to process them have been proposed. Data processing is based on search and recognition of the characteristic points in the tridimensional representation of acceleration measurements. Three different dynamic movements have been measured: run, jump and punch. The presented results show that the measurements of acceleration and proposed processing may be used to extract movement parameters of a sportsman and monitor the level of his tiredness.
Rocznik
Tom
Strony
47--53
Opis fizyczny
Bibliogr. 14 poz., wykr.
Twórcy
autor
- Alumnus of the Faculty of Electronics and Information Technology of the Warsaw University of Technology, Warsaw, Poland
autor
- Institute of Microelectronics and Optoelectronics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland
autor
- Institute of Microelectronics and Optoelectronics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland
autor
- Institute of Microelectronics and Optoelectronics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland
Bibliografia
- [1] J. Neville, A. Wixted, D. Rowlands, D. James, ”Accelerometers: An Underutilized Resource in Sports Monitoring”, Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2010.
- [2] H. Hommel et al., ”Scientific Research Project Biomechanical Analyses at the 12th IAAF World Championships in Athletics”, German Athletics Federation, https://www.iaaf.org/development/research, 2009.
- [3] F. Bonde-Petersen, ”A simple force platform”, European Journal of Applied Physiology, 1975.
- [4] R. Cross, ”Standing, walking, running, and jumping on a force plate”, American Journal of Physics, Vol.67 No.4, 1999.
- [5] A. Pentland, ”Looking at people: Sensing for ubiquitous and wearable computing,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 1, 2000.
- [6] A. Avci, S. Bosch, M. Marin-Perianu, R. Marin-Perianu, P. Havinga, ”Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey,” 23rd International Conference on Architecture of Computing Systems (ARCS), 2010.
- [7] J. D. Lopez, A. Sucerquia, L. Duque-Munoz, F. Vargas-Bonilla, ”Walk and jog characterization using a triaxial accelerometer,” IEEE International Conference on Ubiquitous Computing and Communications (IUCC), 2015.
- [8] S. A. Rawashdeh, D. A. Rafeldt, T. L. Uhl, J. E. Lumpp, ”Wearable motion capture unit for shoulder injury prevention,” IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2015.
- [9] F. Mokaya, R. Lucas, H. Young Noh, P. Zhang, ”Burnout: A Wearable System for Unobtrusive Skeletal Muscle Fatigue Estimation,” 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2016.
- [10] L. Buthe, U. Blanke, H. Capkevics, G. Tröster, ”A wearable sensing ¨ system for timing analysis in tennis,” IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2016
- [11] K. Neneman, A. W. Łuczyk, W. A. Pleskacz, ”Monitoring of dynamic movements using acceleration measurements,” MIXDES - 23rd International Conference Mixed Design of Integrated Circuits and Systems, 2016.
- [12] T. F. Novacheck, ”The biomechanics of running,” Gait and Posture, 1998.
- [13] J. Babic, J. Lenarčič, ”Vertical Jump: Biomechanical Analysis and ˇ Simulation Study,” InTech, 2007.
- [14] T. Walilko, D. Viano, C. Bir, ”Biomechanics of the head for Olympic boxer punches to the face,” British Journal of Sports Medicine, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6950d9eb-d56a-40f6-9509-57d5b4a65141