2019
DOI: 10.1080/17461391.2019.1701093
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Effects of task and environmental constraints on axial kinematic synergies during the tennis service in expert players

Abstract: The aims of this study were to examine the effects of task and environmental constraints on axial synergies and to find an association between synergies and arm acceleration as a performance variable. Participants of this study were 10 expert tennis players (age: 34.4±7.46) who voluntarily took part and executed 60 serves under two different conditions: no-opponent and opponent. An inertial motion unit (IMU) capture system was used to calculate the 3D angular joint motions in the neck, back and lumbar segments… Show more

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Cited by 8 publications
(8 citation statements)
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“…Interestingly, the first two AOIs, namely, tossing hand movement area and ball upward movement, were also the most important predictors of return performance category and individual server. These results are consistent with the observations of Jackson and Mogan ( 2007 ), who pointed out the importance of ball toss for ball flight anticipation, as well as observations that important kinematic synergies are typical for these phases and can be specific for an individual server (Shafizadeh et al, 2019 , 2020 ). Other AOIs located in the following phases of the movement of a server have been shown to contribute less to the classification of returning player and individual server.…”
Section: Discussionsupporting
confidence: 92%
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“…Interestingly, the first two AOIs, namely, tossing hand movement area and ball upward movement, were also the most important predictors of return performance category and individual server. These results are consistent with the observations of Jackson and Mogan ( 2007 ), who pointed out the importance of ball toss for ball flight anticipation, as well as observations that important kinematic synergies are typical for these phases and can be specific for an individual server (Shafizadeh et al, 2019 , 2020 ). Other AOIs located in the following phases of the movement of a server have been shown to contribute less to the classification of returning player and individual server.…”
Section: Discussionsupporting
confidence: 92%
“…Eye-tracking data were filtered using a raw filter without gap-fill interpolation and with noise reduction both available in the Tobii Pri Lab software. To assess the gaze behavior during the movement of a server, serve actions were categorized into the following five phases based on major serve events that also determine the important time frames for the emergence of movement synergies of servers (Shafizadeh et al, 2019(Shafizadeh et al, , 2020, which are defined by the organization of different body parts that work together to achieve a specific goal of the movement task and provide stability and flexibility of the system (Latash et al, 2007): (i) the preparation phase, starting 500 ms before and ending at the first observable upward movement of the tossing hand (preparation), (ii) the ball toss, ending at the instance the ball left the hand (ball toss), (iii) the windup phase, ending at an instance when the racket began to move upward, (iv) the hitting phase, ending when the racket contacted the ball, and (v) the follow-through phase, ending at an instance when the gaze of the participant started following the flying ball. In addition, 25 areas of interest (AOI) were defined according to the movement synergies present during the movement of servers (Jackson and Mogan, 2007;Shafizadeh et al, 2019) (Table 1), six in the first, nine in the second, three in the third, two in the fourth, and five in the fifth phase of servers movement.…”
Section: Hipsmentioning
confidence: 99%
“…The 27 articles selected cover 4 of the 5 continents (America, Asia, Europe, and Oceania) in 12 different countries. Seven studies were conducted solely on male tennis players ( 19 , 21 , 23 , 24 , 26 , 30 , 33 ), three studies included only female players ( 6 , 8 , 35 ), nine studies had a mixed population ( 1 , 3 , 11 , 13 , 20 , 22 , 25 , 31 , 36 ) and height did not provide this information ( 4 , 9 , 12 , 27 29 , 32 , 34 ). Different age categories were studied.…”
Section: Resultsmentioning
confidence: 99%
“…Different age categories were studied. Data were reported using the following designations: children, teenagers, prepubescent, pubescent, adults (ranging from 9.3 ( 25 ) to 34.4 ( 31 ) years). Several levels of expertise were also studied.…”
Section: Resultsmentioning
confidence: 99%
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