Eye Movement on Predicting Serve Return of College Female Tennis Players of Different Levels in Henan Province

Jingang Li
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Abstract

Objective: To quantitatively evaluate the influence of sports level on the behavioral indexes and eye movement indexes of female tennis players by independent sample T test analysis, and to provide strategic basis for visual search of athletes. Methods: In this study, 20 female tennis players from colleges and universities in Henan Province were randomly selected as professional group, and 20 female tennis students from colleges and universities in Henan Province were randomly selected as amateur group. All the tested players had normal vision (5.0 after correction), healthy body, and were right-handed racket holding players. The experiment was conducted to compare the two groups of subjects' prediction accuracy rate, reaction time, total number of effective gaze, gaze track and interest area and other eye movement characteristics when watching videos. Results: The professional group had shorter reaction time, and the correct rate was obviously higher than the amateur group. The total effective fixation point of the professional group was more than that of the amateur group, and the professional group could focus more information. The professional group had a mature grasp of cognitive processing strategies, and their visual search times were targeted; Athletes in the professional group can allocate more attention to the key areas of interest that affect the serve landing point, and highly focus on the interest areas directly related to the direction of the serve, so that they can search information more accurately and improve the accuracy of the prediction.
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眼动对河南省不同水平高校女子网球运动员回球的预测作用
目的通过独立样本 T 检验分析,定量评价运动水平对女子网球运动员行为指标和眼动指标的影响,为运动员视觉搜索提供策略依据。研究方法随机抽取河南省高校网球女运动员 20 名作为专业组,河南省高校网球女学生 20 名作为业余组。所有受试者视力正常(矫正后5.0),身体健康,右手持拍。实验比较了两组被试在观看视频时的预测准确率、反应时间、有效注视总次数、注视轨迹和兴趣区等眼动特征。结果显示专业组反应时间短,正确率明显高于业余组。专业组的总有效定点数多于业余组,专业组能聚焦更多的信息。专业组对认知加工策略的掌握比较成熟,视觉搜索时间有针对性;专业组运动员能将更多的注意力分配到影响发球落点的关键兴趣区,高度集中于与发球方向直接相关的兴趣区,从而能更准确地搜索信息,提高预测的准确性。
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