INFORMACIONE TEHNOLOGIJE U SLUŽBI MODELOVANJA TRENAŽNOG PROCESA

Jovan Plećaš

doi:10.5937/timsact13-23628

Jovan Plećaš Fakultet za sport i turizam, Novi Sad

DOI: https://doi.org/10.5937/timsact13-23628

Sažetak

Upotreba sve naprednijih informacionih tehnologija (IT), u sportu u poslednjih nekoliko decenija je dostigla visok nivo i omogućila da podaci koji se dobijeni budu validniji, pouzdaniji i pravovremeni. Inercijalni senzori koriste se za dobijanje informacija o kretanju sportista, brzini, ubrzanjima i pređenoj udaljenosti, a kamere koje koriste detekciju svetla za proračun 3D poziciju markera, služe za snimanje i analizu pokreta i smatraju se „zlatnim standardom”. Nosivi uređaji, detektuju i analiziraju podatke, u odnosu na unutrašnje ili spoljašnje parametre koje prate, pa se tako fiziološki parametri, kao što su srčana frekvencija, nivo oksidacije mišića, temperatura tela, mogu pratiti u realnom vremenu, a sve uz pomoć pametnog sata ili telefona. Virtuelna realnost je tehnologija koja pronalazi primenu u trenažnom procesu sportista, najčešće u fazama psihološke i taktičke pripreme, kao i u učenju i u uvežbavanju pokreta. Tako, treneri i sportisti izvan laboratorijskih uslova, u realnom vremenu, mogu da dobiju precizne i tačne podatke, i, u skladu sa njima, da bolje planiraju i prilagođavaju trenažni proces. Predmet ovog rada je da sačini pregled upotrebe najznačajnijih informacionih tehnologija koje se koriste u modelovanju trenažnih procesa.

Ključne reči: sportisti, trening, monitoring, IT

Reference

Austins, C. (2018, February 13). How Has Technology Changed the World in Last Two Decades. Retrieved September 17, 2018, from Linkedin: https://www.linkedin.com/pulse/how-has-technology-changed-world-last-two-decades-calvin-austins/

Azuma, R. T. (1997). A survey of augmented reality. Presence: Teleoperators and Virtual Environments , 6(4), 355-385.

Barr, M., Beaver, T., Turczyn, D., & Cornish, S. (2019). Validity and Reliability of 15 Hz Global Positioning System Units for Assessing the Activity Profiles of University Football Players. Journal of Strength and Conditioning Research, 33(5), 1371–1379.

Bayliff, G., Jacobson, B., Moghaddam, M., & Estrada, C. (2019). Global Positioning System Monitoring of Selected Physical Demands of NCAA Division I Football Players During Games. The Journal of Strength & Conditioning Research , 33(5), 1185–1191.

Begon, M., Colloud, F., Fohanno, V., Bahuaud, P., & Monnet, T. (2009). Computation of the 3D kinematics in a global frame over a 40 m-long pathway using a rolling motion analysis system. Journal of Biomechanics , 42(16), 2649-2653.

Bellotti, C., Calabria, E., Capelli, C., & Pogliaghi, S. (2013). Determination of Maximal Lactate Steady State in Healthy Adults: Can NIRS Help? Medicine & Science in Sports & Exercise, 45(6), 1208–1216.

Bideau, B., Kulpa, R., Vignais, N., Brault, S., Multon, F., & Craig, C. (2010). Using Virtual Reality to Analyze Sports Performance. IEEE Computer Graphics and Applications , 30(2), 14-21.

Bilodeau, E. A. (1969). Principles of skill acquisition. (E. A. Bilodeau, Ed.) New York: Academic Press.

Borges, N., & Driller, M. (2016). Wearable Lactate Threshold Predicting Device is Valid and Reliable in Runners. Journal of Strength and Conditioning Research , 30(8), 2212–2218.

Buchheit, M., Mendez-Villanueva, A., Simpson, B., & Bourdon, P. (2010). Match Running Performance and Fitness in Youth Soccer. International Journal of Sports Medicine, 31(11), 818-825.

Cardinale, M., & Varley, M. C. (2017). Wearable Training-Monitoring Technology: Applications, Challenges, and Opportunities. International Journal of Sports Physiology and Performance, 12(2), 55-62.

CatapultSports. (2018, November 29). OptimEye S5. Retrieved November 29, 2018, from catapultsports.com: https://www.catapultsports.com/products/optimeye-s5

Cipresso, P., Chicchi Giglioli, I. A., Raya Mariano, A., & Giuseppe, R. (2018). The Past, Present, and Future of Virtual and Augmented Reality Research: A Network and Cluster Analysis of the Literature. Frontiers in Psychology, 9, 2086.

Comomilla, V., Bergamini, E., Fantozzi, S., & Vannozzi, G. (2018). Trends Supporting the In-Field Use ofWearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review. Sensors, 18(3), 873.

CompTIA. (2019, January 30). IT industry outlook 2019. Retrieved August 20, 2019, from CompTIA: https://www.comptia.org/resources/it-industry-trends-analysis

Corazza, S., Mündermann, L., Gambaretto, E., Ferrigno, G., & Andriacchi, T. (2010). Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation. International Journal of Computer Vision , 87, 156-169.

Craig, C. (2013). Understanding perception and action in sport: How can virtual reality technology help? Sports Technology, 6(4), DOI: 10.1080/19346182.2013.855224.

Cummins, C., Orr, R., O'Connor, H., & West, C. (2013). Global Positioning Systems (GPS) and Microtechnology Sensors in Team Sports: A Systematic Review. Sports medicine, 43(1025).

Düking, P., Hotho, A., Holmberg, H.-C., Fuss, F. K., & Sperlich, B. (2016). Comparison of Non-Invasive Individual Monitoring of the Training and Health of Athletes with Commercially Available Wearable Technologies. Frontiers in physiology, 7(71), doi:10.3389/fphys.2016.00071.

da Silva, C., Machado, G., Fernandes, A. A., Teoldo, I., Pimenta, E., Marins, J., et al. (2018). Muscle Damage–Based Recovery Strategies Can Be Supported by Predictive Capacity of Specific Global Positioning System Accelerometry Parameters Immediately a Post-Soccer Match-Load. The Journal of Strength & Conditioning Research, PAP, doi:10.1519/JSC.0000000000002922.

Farzam, P., Starkweather, Z., & Franceschini, M. A. (2018). Validation of a novel wearable, wireless technology to estimate oxygen levels and lactate threshold power in the exercising muscle. Physiological Reports, 6(7), e13664.

Giblin, G., Tor, E., & Parrington, L. (2016). The impact of technology on elite sports performance. Sensoria: A Journal of Mind, Brain & Culture, 12(2), 3-9.

Gradl, S., Eskofier, B., Eskofier, D., Mutschler, C., & Otto, S. (2016). Virtual and Augmented Reality in Sports - An Overview and Acceptance Study. The 2016 ACM International Joint Conference (pp. 885-888). Heidleberg, Germany: UbiComp.

Hernando, D., Garatachea, N., Almeida, R., Casajus, J., & Bailón, R. (2016). Validation of Heart Rate Monitor Polar RS800 for Heart Rate Variability Analysis During Exercise. Journal of strength and conditioning research, 32(3), 716-725.

Hoffmann, C. P., Filippeschi, A., Ruffaldi, E., & Bardy, B. G. (2013). Energy management using virtual reality improves 2000m rowing performance. Journal of Sports Sciences, 32(6), DOI: 10.1080/02640414.2013.835435.

Hopkins, W. G. (1991). Quantification of training in competitive sports: methods and applications. Sports Medicine , 12 (3), 161-183.

Huang, Y., Churches, L., & Reilly, B. (2015). A Case Study on Virtual Reality American Football Training. Proceedings of the 2015 Virtual Reality International Conference, (pp. 1-5). Laval, France.

Impellizzeri, F., Rampinini, E., & Marcora, S. (2005). Physiological assessment of aerobic training in soccer. Journal of sports sciences, 23, 583-592.

Johnston, R., Watsford, M., Kelly, S., Pine, M., & Spurrs, R. (2014). Validity and Interunit Reliability of 10 Hz and 15 Hz GPS Units for Assessing Athlete Movement Demands. Journal of Strength and Conditioning Research, 28 (6), 1649–1655.

Joyner, M., & Coyle, E. (2007). Endurance exercise performance: the physiology of champions. The Journal of physiology , 586(1), 35–44.

Katz, L., Parker, J., Tyreman, H., Kopp, G., Levy, R., & Chang, E. (2006). Virtual Reality in Sport and Wellness: Promise and Reality. International Journal of Computer Science in Sport, 4(1), 4-16.

Kyriakos, T., & Yiannis, K. (2018). Validation of the Polar RS800CX for assessing heart rate variability during rest, moderate cycling and post-exercise recovery. F1000Research, 7(1501).

Luckerson, V. (2014, March 25). Facebook Buying Oculus Virtual-Reality Company for $2 Billion. Retrieved September 26, 2019, from time.com: https://time.com/37842/facebook-oculus-rift/

McDuffie, J. (2017, Jun 19). Why the Military Released GPS to the Public. Retrieved Septembar 17, 2019, from Popular Mechanics: https://www.popularmechanics.com/technology/gadgets/a26980/why-the-military-released-gps-to-the-public/

McLellan, C., Lovell, D., & Gass, G. (2011). Performance Analysis of Elite Rugby League Match Play Using Global Positioning Systems. Journal of Strength and Conditioning Research, 25(6), 1703-1710.

Mikami, D., Takahashi, K., Saijo, N., Isogawa, M., Kimura, T., & Kimata, H. (2018). Virtual Reality-based Sports Training System and Its Application to Baseball. NTT Techical Review, 16(3).

Mooney, M., O'Brien, B., Cormack, S., Coutts, A. J., Young, W., & Berry, J. (2011). The relationship between physical capacity and match performance in elite Australian football: A mediation approach. Journal of Science and Medicine in Sport, 14(5), 447-452.

Morey Sorrentino, R., Levy, R., Katz, L., & Peng, X. (2005). Virtual Visualization: Preparation for the Olympic Games Long-Track Speed Skating. International Journal of Computer Science in Sport, 4(1), 39-44.

Moxy Monitor. (2014, March). Moxy Monitor - Devices, The Science Behind Moxy. Retrieved Septembar 18, 2019, from Moxy Monitor: http://www.moxymonitor.com/wp-content/themes/moxymonitor/documents/Moxy_Scientific_Explanation_march2014.pdf

NASA. (2012, October 12th). Global Positioning System History. Retrieved Septembar 17, 2019, from nasa.gov: https://www.nasa.gov/directorates/heo/scan/communications/policy/GPS_History.html

Panjkota, A., Stančić, I., & Šupuk, T. (2009). Outline of a qualitative analysis for the human motion in case of ergometer rowing. WSEAS international conference on Simulation, modelling and optimization. Budapest.

Paulich, M., Schepers, M., Rudigkeit, N., & Bellusci, G. (2018). Xsens MTw Awinda: Miniature Wireless Inertial-Magnetic Motion Tracker for Highly Accurate 3D Kinematic Applications. Retrieved November 25, 2018, from Xsense: https://www.xsens.com/

Perrey, S., & Ferrari, M. (2011). Muscle Oximetry in Sports Science: A Systematic Review. Sports Medicine, 48(3), 597–616.

Petri, K., Danneberg, M., Dieter Ohl, C., Emmermacher, P., Masik, S., & Witte, K. (2018). Towards the Usage of Virtual Reality for Training in Sports. Biomedical Journal of Scientific & Technical Research, 7(1), DOI: 10.26717/BJSTR.2018.07.001453.

Sen, Dž. (2007). Informaciona tehnologija: principi, praksa, mogućnosti. (G. Stamenković, Prev.) Beograd: Kompjuter biblioteka.

Spörri, J., Schiefermüller, C., & Mülle, E. (2016). Collecting Kinematic Data on a Ski Track with Optoelectronic Stereophotogrammetry: A Methodological Study Assessing the Feasibility of Bringing the Biomechanics Lab to the Field. PLoS ONE, 11(8), doi.org/10.1371/journal.pone.0161757.

StriVR. (2018, March). Guidebook download. Retrieved September 30, 2019, from strivr.com: https://www.strivr.com/wp-content/uploads/2018/04/STRIVR_NFL-Combine-Book_FINAL2b.pdf

Sutherland, I. (1965). "The Ultimate Display". Proceedings of the IFIP Congress (pp. 506-508). OSD: ARPA.

Sutherland, I. (1968). A head-mounted three dimensional display. AFIPS '68 (Fall, part I) Proceedings of the December 9-11, Fall joint computer conference, part I (pp. 757–764). New York: ACM.

Thompson, W. (2017). Worldwide survey of fitness trends for 2018: The crep edition. ACSM's Health & Fitness Journal, 21(6), 10-19.

Tirp, J., Steingröver, C., Wattie, N., Baker, J., & Schorer, J. (2015). Virtual realities as optimal learning environments in sport – A transfer study of virtual and real dart throwing. Psychological Test and Assessment Modeling, 57(1), 57-69.

Van der Kruk, E., & Reijne, M. (2018). Accuracy of human motion capture systems for sport applications; state-of-the-art review. European Journal of Sport Science, 18, 1-14.

Vicon. (2019a). Biomechanics and Sport. Retrieved February 3, 2019, from www.vicon.com: https://www.vicon.com/motion-capture/biomechanics-and-sport

Vicon. (2019b). What is motion capture — Intelligence in motion. Retrieved October 3, 2019, from vicon.com: https://www.vicon.com/about-us/what-is-motion-capture/

Vignais, N., Kulpa, R., Brault, S., Presse, D., & Bideau, B. (2015). Which technology to investigate visual perception in sport: Video vs. virtual reality. Human Movement Science, 39, 12-26, DOI: 10.1016/j.humov.2014.10.006.

Waldron, M., Twist, C., Highton, J., Worsfold, P., & Daniels, M. (2011). Movement and physiological match demands of elite rugby league using portable global positioning systems. Journal of Sports Sciences, 29(11), 1223-1230.

Wang, B., Xu, G., Tian, Q., Sun, J., Sun, B., Zhang, L., et al. (2012). Differences between the Vastus Lateralis and Gastrocnemius Lateralis in the Assessment Ability of Breakpoints of Muscle Oxygenation for Aerobic Capacity Indices During an Incremental Cycling Exercise. Journal of sports science & medicine, 11(4), 606–613.

Wiemeyer, J., & Mueller, F. (2015). Information and communication technology-enhanced learning and training. In A. Baca, & A. Baca (Ed.), Computer science in sport: research and practice (pp. 187-213). New York: Routledge.

Xsense. (2018). MTw Awinda. Retrieved December 20, 2018, from www.xsens.com:https://www.xsens.com/products/mtw-awinda/

Zhang, L., Brunnett, G., Petri, K., Danneberg, M., Masik, S., Bandow, N., et al. (2018). KaraKter: An autonomously interacting Karate Kumite character for VR-based training and research. Computers & Graphics, 72, 59-69.