论文标题
足球守门员专业知识识别虚拟现实中的眼动特征分类
Eye Movement Feature Classification for Soccer Goalkeeper Expertise Identification in Virtual Reality
论文作者
论文摘要
对足球运动员的专业知识评估的最新研究通过将注意力技能（尤其是对于决策）重点放在高实验控制或现实的演示上来肯定了感知技能的重要性（尤其是对于决策）。为了以优化的方式评估运动员的感知能力，我们捕获了全向场场景，并将这些场景展示给了12位专家，10名中级和13个新手足球守门员，上面是虚拟现实眼镜。从相同的自然守门员角度展示了所有场景，并在返回守门员后结束。基于他们的凝视行为，我们通过通用的机器学习技术将他们的专业知识分类。这项试点研究表明，基于凝视行为的守门员专业知识的客观分类显示了有希望的结果，并提供了宝贵的见解，以告知培训系统的设计，以增强运动员的知觉技能。
The latest research in expertise assessment of soccer players has affirmed the importance of perceptual skills (especially for decision making) by focusing either on high experimental control or on a realistic presentation. To assess the perceptual skills of athletes in an optimized manner, we captured omnidirectional in-field scenes and showed these to 12 expert, 10 intermediate and 13 novice soccer goalkeepers on virtual reality glasses. All scenes were shown from the same natural goalkeeper perspective and ended after the return pass to the goalkeeper. Based on their 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 and provided valuable insight to inform the design of training systems to enhance perceptual skills of athletes.
