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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-ac4086c6-2fb3-466b-a614-e0b64f697612

Czasopismo

Archiwum Fotogrametrii, Kartografii i Teledetekcji

Tytuł artykułu

Monitoring and evaluation of rowing performance using mobile mapping data

Autorzy Mpimis, A.  Gikas, V. 
Treść / Zawartość
Mpimis.pdf
Warianty tytułu
Języki publikacji EN
Abstrakty
EN Traditionally, the term mobile mapping refers to a means of collecting geospatial data using mapping sensors that are mounted on a mobile platform. Historically, this process was mainly driven by the need for highway infrastructure mapping and transportation corridor inventories. However, the recent advances in mapping sensor and telecommunication technologies create the opportunity that, completely new, emergent application areas of mobile mapping to evolve rapidly. This article examines the potential of mobile mapping technology (MMT) in sports science and in particular in competitive rowing. Notably, in this study the concept definition of mobile mapping somehow differs from the traditional one in a way that, the end result is not relevant to the geospatial information acquired as the moving platform travels in space. In contrast, the interest is placed on the moving platform (rowing boat) itself and on the various subsystems which are also in continuous motion. As an initial step of an on-going research this article discusses the biomechanics of rowing in relation to applied technique and equipment. Also, it reviews the current practices and sensor systems used for monitoring and evaluating performance in rowing. Finally, it presents an integrated data acquisition and processing scheme for rowing based on modern MMT. To this effect, a critical assessment of the various types of sensors as well as their installation and integration into a recording system is detailed. This analysis benefits by a number of preliminary tests using real data recordings. The boat kinematics (velocity, acceleration and attitude), techniques for their noise elimination and processes for computing average stroke characteristics are studied thoroughly. Also, the pattern of motion in rowing (stroke cycle) is examined in relation to athlete technique and capacity.
Słowa kluczowe
PL czujnik   mapowanie   GNSS   MEMS-IMU  
EN sensor   mapping   GNSS   MEMS-IMU  
Wydawca Zarząd Główny Stowarzyszenia Geodetów Polskich
Czasopismo Archiwum Fotogrametrii, Kartografii i Teledetekcji
Rocznik 2011
Tom Vol. 22
Strony 337--349
Opis fizyczny Bibliogr. 15 poz.
Twórcy
autor Mpimis, A.
  • School of Rural and Surveying Engineering, National Technical University of Athens, 9 I. Polytechniou St., Zographos, Athens, 15780, Greece, ampimis@central.ntua.gr
autor Gikas, V.
  • School of Rural and Surveying Engineering, National Technical University of Athens, 9 I. Polytechniou St., Zographos, Athens, 15780, Greece, vgikas@central.ntua.gr
Bibliografia
Atkinson, W., 2004. Rowing computer research. http://www.atkinsopht.com/row/rowrpage.htm (accessed 15 Apr 2011)
Bettinelli S., Placido A., Susmel L, Tovo R., 2010. An Integrated Data Acquisition System for on-Water Measurement of Performance in Rowing, Strain, An International Journal for Experimental Mechanics, pp. 493-509
Cabrera D., Ruina A., Kleshnev V., 2006. A simple 1+ Dimensional Model of Rowing Mimics Observed Forces & Motions, Human Movement Science, pp. 192-220
Caplan N., Gardner T., Caplan N., 2007. Modeling the Influence of Crew Movement on Boat Velocity Fluctuations during the Rowing Stroke, Int. Journal of Sports Science and Engineering, pp. 165-176
Elliott E. H., Hamill J., , & T. R. Derrick, 1993. In-shoe pressure distribution during ergometer rowing in novice and experienced rowers. Proceedings of the XI International Symposium on Biomechanics in Sport. Amherst, Massachusetts., pp. 349-352.
Fotiadis, M., 2007. “Accurate determination of rowing kinematics using satellite and inertial navigation”, MSc Dissertation Thesis, Program on Postgraduate Studies on Geoinformatics, pp. 94.
Hawkins D., 2000. A new instrumentation system for training rowers, Journal of Biomechanics, pp. 241-245
Lazauskas, L., 1997. A performance prediction model for rowing races. Technical report, University of Adelaide, Australia. Available from http://www.cyberiad.net/rowing.htm.
Llosa J., Vilajosanna I., Vilajosanna X., Navarro N., Surinach E., Manuel Marques J., 2010. REMOTE, a Wireless Sensor Network Based System to Monitor Rowing Performance, Sensors, pp.7069-7082
Millward, A., 1987. A study of the forces exerted by an oarsman and the effect on boat speed. Journal of Sports Sciences, 5, pp. 93–103.
Simeoni, R. J., Barrett, R., & Manning, J. M., 2002. A new model of rowing based on simple physics. The Physicist, 39, pp. 190–197.
Smith R. M. & Loschner C., 2002. Biomechanics feedback for rowing. Journal of Sports Sciences., 20: pp. 783-791.
Smith R. M. & Spinks W. L., 1995. Discriminant analysis of biomechanical differences between novice, good and elite rowers. Journal of Sports Sciences, 13: pp 377-385.
Van Holst, M., 2004. On rowing, http://home.hccnet.nl/m.holst/ RoeiWeb.htm (accessed 15 Apr 2011)
Zhang K., Wu F., Mackintosh C., Rice T., Gore C., Hahn A., Holthous S., 2008. Challenging olympic medals - an innovative GNSS based multi-sensor system for athlete training and coaching, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress Beijing 2008, pp. 1799-1804
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