Global Information Pickup Underpins Anticipation of Tennis Shot Direction

Huys, Raoul; Cañal‐Bruland, Rouwen; Hagemann, Norbert; Beek, Peter J.; Smeeton, Nicholas J.; Williams, A. Mark

doi:10.3200/jmbr.41.2.158-171

Cited by 138 publications

(148 citation statements)

References 45 publications

(84 reference statements)

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“…Thus, reliable visual perception of that movement is made possible by visual perception of these structures (cf. Huys et al, , 2009. It is by this process of perceiving dynamic structures that the tennis player could be provided with information for anticipating general outcomes of whole-body movements.…”

Section: Discussionmentioning

confidence: 99%

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Anticipation of tennis-shot direction from whole-body movement: The role of movement amplitude and dynamics

Smeeton

Huys²

2011

Human Movement Science

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While recent studies indicate that observers are able to use dynamic information to anticipate whole-body actions like tennis shots, it is less clear whether the action's amplitude may also allow for anticipation. We therefore examined the role of movement dynamics and amplitude for the anticipation of tennis shot direction. In a previous study, movement dynamics and amplitude were separated from the kinematics of tennis players' forehand groundstrokes. In the present study, these were manipulated and tennis shots were simulated. Three conditions were created in which shot direction differences were either preserved or removed: Dynamics-PresentAmplitude-Present (D P A P ), Dynamics-Present-Amplitude-Absent (D P A A ), and Dynamics-Absent-Amplitude-Present (D A A P ). Nineteen low-skill and fifteen intermediate-skill tennis players watched the simulated shots and predicted shot direction from movements prior to ball-racket contact only. Percent of correctly predicted shots per condition was measured. On average, both groups' performance was superior when the dynamics were present (the D P A P and D P A A conditions) compared to when it was absent (the D A A P condition). However, the intermediateskill players performed above chance independent of amplitude differences in shots (i.e., both the D P A P and D P A A conditions), whereas the low-skill group only performed above chance when amplitude differences were absent (the D P A A condition). These results suggest that the movement's dynamics but not their amplitude provides information from which tennis-shot direction can be anticipated.Furthermore, the successful extraction of dynamical information may be hampered by amplitude differences in a skill dependent manner.Movement Amplitude and Dynamics in Anticipation 3

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Section: Discussionmentioning

confidence: 99%

“…( 2008) and Huys et al (2009)). To generate new data, u(t), for the simulations we computed the product of the projections ξ k (t) and the eigenvectors of mode 1 to 54, resulting in a 54-dimensional vector u(t) representing the dynamics corresponding to the 18 marker locations in 3 Cartesian directions.…”

Section: Apparatus and Stimulus Productionmentioning

confidence: 97%

Anticipation of tennis-shot direction from whole-body movement: The role of movement amplitude and dynamics

Smeeton

Huys²

2011

Human Movement Science

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“…First, Williams, Hodges, North, and Barton (2006) showed that it is rather specific relational information between certain key players that provide crucial information for superior recognition in soccer. Second, several studies provide evidence for the superiority of experts in picking up, for example, subtle kinematic cues when attempting to recognise and anticipate the outcome of an opponents action (e.g., Abernethy & Zawi, 2008;Huys et al, 2009;). …”

Section: Discussionmentioning

confidence: 99%

Visual span and change detection in soccer: An expertise study

Bruland

Lotz

Hagemann

et al. 2011

Journal of Cognitive Psychology

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“…La zona que comprende el brazo efector ha sido considerada como altamente informativa en diversas investigaciones realizadas en modalidades deportivas abiertas, ya que su oclusión o neutralización ha producido un descenso en la precisión tanto de expertos como de novatos (e.g. Ward, Williams, & Bennett, 2002;Huys et al, 2009;Bourne, Bennett, Hayes, Smeeton, & Williams, 2013). Concretamente la zona de CM también se ha destacado en otras investigaciones realizadas sobre la acción del bloqueo en voleibol (e.g.…”

Section: C D D E P O R T Eunclassified

Visual pattern of experienced volleyball players during the blocking action

Vila-Maldonado¹,

Sáez-Gallego²,

Abellán³

et al. 2015

CCD

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ResumenEl objetivo del presente estudio fue analizar el comportamiento visual de las jugadoras de voleibol en una situación de bloqueo basándose en la figura de la colocadora. La muestra quedó compuesta por 29 jugadoras de voleibol (23.10 ± 3.74 años) que competían de manera federada. Se analizó el comportamiento visual de las jugadoras utilizando secuencias de vídeo proyectadas a tamaño real. Las participantes visionaron el mismo número de colocaciones, realizadas por dos jugadoras distintas, de su mismo nivel competitivo. Dentro del comportamiento visual se analizó la duración, núme-ro y orden de las fijaciones visuales, y los movimientos sacádicos. El número medio de fijaciones de las participantes fue de 3.61, con una duración media de 3.56 s. Encontramos un patrón en el comportamiento visual de las participantes del estudio basado en sus fijaciones visuales. Inicialmente las participantes utilizaban la visión periférica para detectar diferentes estímulos de la escena y posteriormente su tendencia fue a utilizar la visión fóvea centrándose en distintas zonas concretas. Las zonas más fijadas por las participantes, de las cuales extraen la información para su toma de decisiones, son fondo (FD) y codo-muñeca (CM) en primer lugar, seguidas de cabeza (CB), balón (BA), hombro-codo (HC), balón-muñeca (BM) y tronco (TR).Palabras clave: comportamiento visual, voleibol, bloqueo. AbstractThe aim of this study was to analyze the visual behavior of the volleyball players in a blocking situation based on the figure of the setter. The sample was composed of 29 volleyball players (23.10 ± 3.74 years). The visual behavior of players was analyzed using video footage projected at 'life-size'. The participants envisioned the same number of placements made by two different players of the same competitive level. Within the visual behavior duration, number and order of visual fixations and saccades were analyzed. The average number of fixations of participants was 3.61, with an average of 3.56 s. We found a pattern in the visual behavior of study participants based on their visual fixations. Initially participants used peripheral vision to detect different stimuli from the scene and later the tendency was to use foveal vision focusing on different specific areas. The most fixed areas set by the participants, of which we extracted the information for decision making, are background (FD) and elbow -wrist (CM) first, followed by head (CB), ball (BA), shoulder -elbow (HC), ballwrist (BM) and trunk (TR).

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Global Information Pickup Underpins Anticipation of Tennis Shot Direction

Cited by 138 publications

References 45 publications

Anticipation of tennis-shot direction from whole-body movement: The role of movement amplitude and dynamics

Anticipation of tennis-shot direction from whole-body movement: The role of movement amplitude and dynamics

Visual span and change detection in soccer: An expertise study

Visual pattern of experienced volleyball players during the blocking action

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