• DocumentCode
    2530629
  • Title

    Identify an Adequate Anthropometry to Water Polo Using Social Data Mining

  • Author

    Ochoa, Alberto ; Hernández, Arturo ; Sánchez, Jöns ; García, Yazmani ; Dumont, Michelle ; Iztebegovic, Halina

  • Author_Institution
    Dept. de Ing. Electr. y Comput., UACJ, Mexico, Mexico
  • fYear
    2009
  • fDate
    26-28 Feb. 2009
  • Firstpage
    144
  • Lastpage
    147
  • Abstract
    To assess the differences in anthropometric parameters, body fat, body mass index (BMI) and body density induced by sport specific morphological optimization (adaptation) between two samples (Juarez City University and Technological Montenegro University) of male water polo players. The survey included a total of 160 male water polo players, all members of University teams of Water polo. The sample from Juarez City consisted of 95 players (71.9% of target population) aged between 18 and 32 years, and the sample from Montenegro included 65 players (50% of target population) aged between 19 and 29 years. Trained and qualified anthropometrists performed the measurement under standardized experimental conditions and in accordance with the procedures described by the International Biological Program. They measured 23 anthropometric variables reflecting basic human body characteristic described by skeletal bone lengths (total leg length, total arm length, hand length, foot length, and height), breadths (hand at proximal phalanges, foot in metatarsal area, biacromial, biiliocristal, biepycondylar femur, biepycondyar humerus, and radio-ulnar wrist breadth), girths (chest, arm, forearm, thigh, and calf girth), skin fold thickness as a measure of subcutaneous adiposity (triceps, subscapular, axillary, calf, and abdominal skin fold thickness), and mass. Additionally, estimates of body mass index (BMU), body density, and percentage of body fat were calculated from the primary measures.
  • Keywords
    anthropometry; data mining; sport; adequate anthropometry; anthropometric parameter; anthropometric variables; body characteristic; body density; body fat; body mass index; international biological program; morphological optimization; skeletal bone length; skin fold thickness; social data mining; subcutaneous adiposity; water polo player; Aging; Anthropometry; Area measurement; Cities and towns; Data mining; Foot; Length measurement; Performance evaluation; Skin; Thickness measurement; Anthropometrics; Social Data Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Communications, and Computers, 2009. CONIELECOMP 2009. International Conference on
  • Conference_Location
    Cholula, Puebla
  • Print_ISBN
    978-0-7695-3587-6
  • Electronic_ISBN
    978-0-7695-3587-6
  • Type

    conf

  • DOI
    10.1109/CONIELECOMP.2009.32
  • Filename
    5163906