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Showing 3 results for Talent Identification

, , ,
Volume 10, Issue 4 (10-2012)
Abstract

Introduction: Different sports require athletes with special shape and size.
Findings of researches have reported the relationship between somatotype
components and athletic performance, similarity of somatotype of junior and
senior athletes in the same sport and, consistency of somatotype through
lifespan. In according to the fact that, somatotype is related to genetic factors
and not influenced by training and nutrition, this index can be helpful in
identification of talents. Lack of investigation examining somatotype profile of
Iranian population, the aim of present study was to describe somatotype profile
of Iranian 9-13 years old boys of country provinces in martial sports.
Methodology: present investigation is descriptive and field study. Population is
9-13 years old boys who participated in Basij Sport Organization leisure time
programs. Sample includes 1726 boys in that age rang. Anthropometric
characteristics were measured using ISAK instruction and somatotpye was
assessed using Heath-Carter method.
Findings: results showed that Ectomorphic component of Iranian boys was 3.1,
Mesomorphy was 4.1 and Endomorphic was 3.1. also revealed that the Iranian
9-13 years old boys have balanced mesomorph somatotype.
Discussion: based on previous researches, elite Karateka in worldwide top
teams like Germany have Ectomorph-Mesomorph type, also somatotype of elite
taekwondo ka is Ectomorph-Mesomorph too and in Judo somatotype of elite
athletes is Balanced Mesomorphy. Based on the finding of present study the
boys of Ilam, Fars, Qazvin, Qom, Lorestan, Khorasan Razavi and Yazd have
Ectomorph-Mesomorph somatotype and, boys in Mazandaran, Kerman,
Kemanshah, Kurdestan, Markazi, Azarbayjan Sharghi, Khouzestan and
Bousher provinces have balanced mesomorph somatotye.


Mohammadhossein Noori, Heydar Sadeghi,
Volume 17, Issue 17 (4-2019)
Abstract

Using appropriate devices and scientific methods can accelerate the process of sport talent identification and development to achieve championship level, and could also provide condition in which capable and talented athletes obtain highest level performance rapidly, so they will have long life championship. Former researches in scope of sport talent identification usually have been done in order to determine or normalize effective parameters. The purpose of this study was to design football talent identification algorithm based on fuzzy logic which classifies the football athletes. Due to expert opinion, essential parameters of football talent identification which also used in this software are; Cardio respiratory capacity (Physiology), Agility (Ability of motion), Dribble (technical skill) and Motivation (psychology). Norms of elite football player teenagers (14-16 yrs) are also used as index. Then with considering parameters and index, a fuzzy algorithm is designed which classifies football players in Unmatched, Semi-matched, Matched, Brilliant and Rare class. These results can help trainers and coaches in order to select talented and capable football players. In validation and reliability, records of elite junior Brazilian and Portuguese soccer have compared with norms of Iranian elite soccer.

M.h Noori, H Sadeghi,
Volume 18, Issue 19 (7-2020)
Abstract

Using appropriate devices and scientific methods by coaches and trainers can accelerate the process of sport talent identification and development, and could also provide condition in which capable athletes to be directed in to suitable sport according to their abilities and skills. Former researches in scope of sport talent identification usually have been done in order to determine or normalize effective parameters. The purpose of this study was to design volleyball talent identification algorithm based on fuzzy logic which ranks the volleyball athletes. Due to expert opinion, essential parameters of volleyball talent identification which also used in this software are; Height (Anthropometry), Velocity (Ability of motion), Vertical jump with run-up (technical skill) and Pair jump (functional skill). Norms of young elite volleyball players are also used as index. Then with considering parameters and index, a fuzzy algorithm is designed which classifies volleyball players in Unmatched, Semi-matched, Matched, Brilliant and Rare class. These results can help trainers and coaches in order to select talented and capable volleyball players.
 

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