混乱状态：眼和头部跟踪揭示了外科医生在关节镜手术期间的混乱
States of confusion: Eye and Head tracking reveal surgeons' confusion during arthroscopic surgery
摘要：
在关节镜手术期间，外科医生面临着将2D屏幕输出重新投影到3D手术部位或导航通过高度相似组织等挑战。这些认知过程的训练需要年轻外科医生花费大量的时间和精力，但对他们的教育是必要的和至关重要的。在这项研究中，我们想展示如何在关节镜手术中识别年轻外科医生的困惑状态，通过观察他们的眼睛和头部运动，并将其输入机器学习模型。该模型的准确率超过94%，检测速度为0.039秒，是外科医生在关节镜手术期间感知认知过程的在线诊断和培训系统的一步。
英文摘要：
During arthroscopic surgeries, surgeons are faced with challenges like cognitive re-projection of the 2D screen output into the 3D operating site or navigation through highly similar tissue. Training of these cognitive processes takes much time and effort for young surgeons, but is necessary and crucial for their education. In this study we want to show how to recognize states of confusion of young surgeons during an arthroscopic surgery, by looking at their eye and head movements and feeding them to a machine learning model. With an accuracy of over 94\% and detection speed of 0.039 seconds, our model is a step towards online diagnostic and training systems for the perceptual-cognitive processes of surgeons during arthroscopic surgeries.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
