A High-Level Description and Performance Evaluation of Pupil Invisible
A High-Level Description and Performance Evaluation of Pupil Invisible
复制标题
隐形瞳孔的高级描述和性能评估
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
K. Dierkes
中科院分区：
文献类型：
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作者：
Marc Tonsen;Chris Baumann;K. Dierkes
头戴式眼动仪保证在不受约束的环境中方便地访问可靠的凝视数据。然而，由于一些限制，他们往往只能部分兑现这一承诺。
其中包括：（i）在每次使用眼睛跟踪器之前执行设备设置和校准的必要性，（ii）注视估计结果对诸如室外照明条件和眼睛跟踪器在受试者头部上的不可避免的滑动等扰动缺乏鲁棒性，以及（iii）由于当前头戴式眼睛跟踪器的不自然外观而导致的社交尴尬导致的行为失真。
最近，Pupil Labs发布了Pupil Invisible眼镜，这是一款头戴式眼动仪，旨在解决这些限制。在这里，我们提出了一个广泛的评估其凝视估计能力。为此，我们设计了一个数据收集协议和评估方案，旨在提供真实世界使用Pupil Invisible眼镜的真实写照。
特别是，我们开发了一个几何框架来衡量凝视估计精度，超越了报告的平均角度精度。我们证明，瞳孔隐形眼镜，而不需要校准，提供凝视估计是强大的扰动，包括室外照明条件和滑动的耳机。
Head-mounted eye trackers promise convenient access to reliable gaze data in unconstrained environments. Due to several limitations, however, often they can only partially deliver on this promise.
Among those are the following: (i) the necessity of performing a device setup and calibration prior to every use of the eye tracker, (ii) a lack of robustness of gaze-estimation results against perturbations, such as outdoor lighting conditions and unavoidable slippage of the eye tracker on the head of the subject, and (iii) behavioral distortion resulting from social awkwardness, due to the unnatural appearance of current head-mounted eye trackers.
Recently, Pupil Labs released Pupil Invisible glasses, a head-mounted eye tracker engineered to tackle these limitations. Here, we present an extensive evaluation of its gaze-estimation capabilities. To this end, we designed a data-collection protocol and evaluation scheme geared towards providing a faithful portrayal of the real-world usage of Pupil Invisible glasses.
In particular, we develop a geometric framework for gauging gaze-estimation accuracy that goes beyond reporting mean angular accuracy. We demonstrate that Pupil Invisible glasses, without the need of a calibration, provide gaze estimates which are robust to perturbations, including outdoor lighting conditions and slippage of the headset.
DOI：
10.1145/3130971
发表时间：
2017-09
影响因子：
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作者：
Marc Tonsen;Julian Steil;Yusuke Sugano;A. Bulling
通讯作者：
Marc Tonsen;Julian Steil;Yusuke Sugano;A. Bulling