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Eye Movement Feature Classification for Soccer Expertise Identification in Virtual Reality
arXiv - CS - Computer Vision and Pattern Recognition Pub Date : 2020-09-23 , DOI: arxiv-2009.11676
Benedikt Hosp, Florian Schultz, Enkelejda Kasneci, Oliver H\"oner

Latest research in expertise assessment of soccer players pronounced the importance of perceptual skills. Former research focused either on high experimental control or natural presentation mode. To assess perceptual skills of athletes, in an optimized manner, we captured omnidirectional in-field scenes, showed to 12 expert, 9 intermediate and 13 novice goalkeepers from soccer on virtual reality glasses. All scenes where shown from the same natural goalkeeper perspective and ended after the return pass to the goalkeeper. Based on their responses and gaze behavior we classified their expertise with common machine learning techniques. This pilot study shows promising results for objective classification of goalkeepers expertise based on their gaze behaviour.

中文翻译:

虚拟现实中足球专长识别的眼动特征分类

足球运动员专业知识评估的最新研究表明感知技能的重要性。以前的研究侧重于高实验控制或自然呈现模式。为了评估运动员的感知能力,我们以优化的方式捕获了全方位的场内场景,并在虚拟现实眼镜上向来自足球的 12 名专家、9 名中级和 13 名新手守门员展示。所有场景都从相同的自然守门员角度显示,并在返回传球给守门员后结束。根据他们的反应和凝视行为,我们使用常见的机器学习技术对他们的专业知识进行了分类。这项试点研究显示了根据守门员注视行为对守门员专业知识进行客观分类的有希望的结果。
更新日期:2020-09-25
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