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English(EN) Quantifying the Impact of Motion on 2D Gaze Estimation in Real-World Mobile Interactions

量化运动对移动使用中二维注视估计的影响

研究人员利用手持设备上的前置RGB摄像头,研究了运动对二维注视估计精度的影响。他们的研究表明,虽然在连续使用过程中头部与摄像头的距离相对稳定,但切换任务会引入显著的几何波动。一次性校准提高了准确性,虽然总体运动条件并未可靠地影响误差,但特定任务和特定运动的校准分析显示出降低误差的潜力。 AI

影响 这项研究可以为移动应用程序中更鲁棒的注视跟踪系统的开发提供信息,从而改善用户交互和医疗保健及增强现实等领域的 数据收集。

排序理由 学术论文,详细介绍了注视估计的研究。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

量化运动对移动使用中二维注视估计的影响

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学术论文,详细介绍了注视估计的研究。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yaxiong Lei, Yuheng Wang, Fergus Buchanan, Mingyue Zhao, Yusuke Sugano, Shijing He, Mohamed Khamis, Juan Ye ·

    量化运动对真实世界移动交互中二维注视估计的影响

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