785 research outputs found

    SMART GLOVE USAGE POSSIBILITY FOR BASKETBALL TRAINING: PROOF OF CONCEPT

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    Nowadays, basketball is one of the most entertaining and popular sports. In the last years, the number of people that are dedicating themselves to basketball has grown rapidly. The increasing number of sportsmen defines the increasing demand to monitor and analyse their performance, hereby granting the possibility to review and evaluate mistakes made within different game phases, which, in turn, would be useful for future training. The present research is the first step to develop a wireless system (Smart Basketball Glove (SBG)) for basketball shot analysis and training. SBG system is based on knitted tension and pressure sensors that were already successfully used in Smart Socks and Smart Shirt applications. These sensors, while embedded into the proposed system’s textile part, showed high tactile sensitivity and speed of response and, therefore, demonstrates potential abilities to analyse the wrist and fingers movement and estimate the forces with which fingers interact with the ball during basketball shot. Necessary requirements for data acquisition and transition device of SBG are formulated for further system’s development as well.

    EXAMINING THE EFFECTS OF HAND ANTHROPOMETRIC MEASUREMENTS, GRIP STRENGTH AND BALANCE SKILLS ON SHOT PERFORMANCE IN ELITE FEMALE BASKETBALL PLAYERS

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    This study aims to examine the effects of elite female basketball players’ hand anthropometric measurements, hand-grip strength and balance skills on their shooting performance. The age, height, weight, body mass index and hand anthropometric values, hand-grip strength and balance of the athletes were measured, and Aahperd shot tests were applied. Data analysis was performed through SPSS 24 package program. Data analyses included the Shapiro-Wilk Test applied to determine whether there is a normal distribution, and Pearson correlation analysis used to evaluate the correlation status of the parameters with the normal distribution of the data. The average age of the 12 female athletes participating in the study was 21.83 ± 4.407 years, the average height was 171.50 ± 6.95 cm, the average body weight was 68.60 ± 17.96 kg and the mean Body Mass Index was 23.99 ± 4.72. has been determined. It was determined that the average right hand grip strength of 12 female athletes participating in the study was 35.92 ± 6.127 kg and the average left hand grip strength was 32.92 ± 5.807 kg. Among the balance parameters, the balance mean deviation value was determined as 07 ±, 048, the balance average speed value as 42 ± 119, the balance path length value as 12.19 ± 3.473 and the balance area value as 02 ±. The Aahperd shot test mean value was also determined to be 18.67 ± 2.425. The analyses regarding the hand anthropometrics parameter of the 12 athletes indicate that there is no significant correlation between shot performance and hand length, width, palm length, third finger length, hand shape index, finger index and hand surface area. Besides, it is determined that there is no significant correlation between the hand grip strength and balance test results and shooting performance. The data revealed that the dominant hand measurements, test values and shooting performance of the athletes are not significantly correlated. Article visualizations

    Young basketball players have better manual dexterity performance than sportsmen and non-sportsmen of the same age: a cross-sectional study

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    : Manual dexterity is a key skill in motor development. There are conflicting studies on the influence of sports practice on this skill and on which type of sport trains this ability the most in youth. Manual dexterity is usually assessed with expensive and time-consuming tools not easily available to facilities such as schools or sports clubs. The aim of this study was to assess differences in manual dexterity performance between young basketball players, sportsmen, and non-sportsmen. A further aim was to analyze whether the coin rotation task was a reliable tool for assessing manual dexterity. Based on the characteristics of the sport, we hypothesized that basketball players had better manual dexterity performances. Seventy-eight participants were included in the study and categorized into "basketball", "sports", and "non-sports" groups. Manual dexterity was assessed with the grooved pegboard, the coin rotation task, and the handgrip tests. The basketball group showed better performance in all tests. Significant differences were found between the basketball group and sports group and between the basketball group and non-sport group in the grooved pegboard (p < 0.05) and in the handgrip (p < 0.05) tests. Test-retest reliability of the coin rotation task scores was moderate in the basketball group (ICC2,1 0.63-0.6). Basketball practice could positively influence manual dexterity. The coin rotation task showed an acceptable construct of validity

    Papers on anthropology XIII

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    Eelkäija: Tartu Ülikooli toimetised. Antropoloogia-alaseid töid, ISSN 0207-4575http://www.ester.ee/record=b1339521*es

    1998-1999 NSU Knights Men\u27s and Women\u27s Basketball Media Guide

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    https://nsuworks.nova.edu/athletics_mediaguides/1019/thumbnail.jp

    A brief review of handgrip strength and sport performance

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    Cronin, J, Lawton, T, Harris, N, Kilding, A, and McMaster, DT. A brief review of handgrip strength and sport performance. J Strength Cond Res 31(11): 3187-3217, 2017-Tests of handgrip strength (HGS) and handgrip force (HGF) are commonly used across a number of sporting populations. Measures of HGS and HGF have also been used by practitioners and researchers to evaluate links with sports performance. This article first evaluates the validity and reliability of various handgrip dynamometers (HGD) and HGF sensors, providing recommendations for procedures to ensure that precise and reliable data are collected as part of an athlete's testing battery. Second, the differences in HGS between elite and subelite athletes and the relationships between HGS, HGF, and sports performance are discussed

    Central Florida Future, Vol. 41 No. 16, February 11, 2009

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    SGA elections invisible to some; Working hard for the money; Lectures focuses on Holocaust women; Alarm security outsourced.https://stars.library.ucf.edu/centralfloridafuture/3194/thumbnail.jp

    Spartan Daily, October 2, 1981

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    Volume 77, Issue 22https://scholarworks.sjsu.edu/spartandaily/6798/thumbnail.jp

    Limits to temporal synchronization in fundamental hand and finger actions

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    Coordinated movement is critical not only to sports technique and performance but to daily living and as such represents a fundamental area of research. Coordination requires being able to produce the right actions at the right time and has to incorporate perception, cognition, and forceful neuro-muscular interaction with the environment. Coordinated movements of the hands and fingers are some of the most complex activities undertaken where continuous learning and adaptation take place, but the temporal variability of the most basic movement components is still unknown. This thesis investigates the extent of temporal variability in the execution of four different simple hand and finger coordination tasks, with the purpose to find the various intrinsic temporal variability which limit the ability to coordinate the hands in space and time. Study one showed that in a synchronized bi-lateral two finger tapping test (<<1 cm movement to target) the best participant had a temporaltiming variability of 4.8 ms whereas the largest time variability could be as high as 24.8 ms. No obvious improvement was found after transfer practice, whereas the average time variability for asynchronized tapping decreased from 62.1 ms to 30.3 ms after instructed practice indicating a likely change in task grouping. Study two showed that in a unilateral thumb-index finger pinch and release test, the largest mean timing variability was 12 ms for pinching irrespective of performing the task in a slow alert manner or at a faster speed. However, the mean temporal variability for release was only 6.3 ms when the task was performed in a more alert manner and indicates that release is more accurately controlled temporally than grip. Study three suggested that in a unilateral sagittal plane throwing action of the lower arm and hand, that elbow and wrist coordination for dynamic index finger tip location was better with a radial-ulnar deviation, darts-type, throwing action than a wrist flexor-extensor type action, basketball free throw type action (the mean variability was 37.5 ms and 27.2 ms, respectively). Study four compared the variability in bi-lateral finger tapping between voluntary tapping and involuntary finger contraction tapping. Electrically stimulated neural contractions had significantly lower force onset variability than voluntary or direct magnetic stimulation of muscles (6 ms, 9.5 ms, and 10.3 ms for electrically stimulated, voluntary and Transcranial Magnetic Stimulation stimulated contraction). This work provides a comprehensive analysis of the temporal variability in various fundamental digital movement tasks that can aid with the understanding of basic human coordination in sporting, daily living and clinical areas

    EEG coherence between the verbal-analytical region (T3) and the motor-planning region (Fz) increases under stress in explicit motor learners but not implicit motor learners

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    This journal supplement contains abstracts of NASPSPA 2010Free Communications - Verbal and Poster: Motor Learning and Controlpublished_or_final_versionThe Annual Conference of the North American Society for the Psychology of Sport and Physical Activity (NASPSPA 2010), Tucson, AZ., 10-12 June 2010. In Journal of Sport and Exercise Psychology, 2010, v. 32 suppl., p. S13
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