On the Characteristics of On-the-Spot Tactical Decision Making and Cognitive Mechanism in Tennis Teaching

Abstract

Tennis is a skill-oriented antagonistic net-separating sport. It requires players to change speed and give responses very quickly and make accurate judgments and decisions on the path of the ball. Based on electroencephalography (EEG), this paper assigns general-situation and specific-situation decision making tasks to tennis players and college students, and analyzes the cognitive mechanisms of tennis players. The experimental results show that: college students' decision-making response time was obviously longer than that of the player group, and that the decision scores and accuracy of the player group were significantly higher than those of the college student group. After specialized training, tennis players had intuitions when making decisions. Their intuitive decision-making abilities were much stronger than those of the college student group. Due to the spatial positioning or stimulatory interference suppression effects of the players' brains, stimulus conditions induced P1 and P2 waveforms, and with the peak amplitude increasing and the latency period becoming longer, such phenomena of the player group were increasingly obvious.

Analysis of tennis technical movement training strategy in colleges and universities under the background of big data technology

“…Tennis belongs to the skill-dominant category of inter-net confrontational sports, and its technical movement types include both closed motor skills of technical movements of serving and open motor skills of forehand and backhand, interceptions, high pressure and chip shots, which reflect the diversity and specificity of technical movements [7][8]. Literature [9] examined cognitive mechanisms based on EEG for tennis players and college students in a motor decision-making task. College students exhibited longer reaction times and lower decision scores when making exercise decisions than tennis players.…”

“…Hui Huang, Yanxin Liu and Shunlei Pan. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14] …”

The effect of multimedia-assisted sport education model on teaching tennis lessons in colleges and universities

“…The biggest difference between college tennis class and other courses is that it is mainly outdoor class supplemented by theory lectures [10][11]. The use of the network environment to assist the theory and technology teaching of physical education classes and scientific organization of the teaching content of such network courseware so as to achieve the best teaching effect with outdoor practice [12][13].…”