ARETT: Augmented Reality Eye Tracking Toolkit for Head Mounted Displays

• 出版年: Sensors
• 主要な著者: Sebastian Kapp, Michael Barz, Sergey Mukhametov, Daniel Sonntag, Jochen Kuhn
• フォーマット: 論文
• 言語: 英語
• 出版事項: MDPI AG 2021-03-01
• 主題: augmented reality; eye tracking; toolkit; accuracy; precision
• オンライン･アクセス: https://www.mdpi.com/1424-8220/21/6/2234

Currently an increasing number of head mounted displays (HMD) for virtual and augmented reality (VR/AR) are equipped with integrated eye trackers. Use cases of these integrated eye trackers include rendering optimization and gaze-based user interaction. In addition, visual attention in VR and AR is interesting for applied research based on eye tracking in cognitive or educational sciences for example. While some research toolkits for VR already exist, only a few target AR scenarios. In this work, we present an open-source eye tracking toolkit for reliable gaze data acquisition in AR based on Unity 3D and the Microsoft HoloLens 2, as well as an R package for seamless data analysis. Furthermore, we evaluate the spatial accuracy and precision of the integrated eye tracker for fixation targets with different distances and angles to the user (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>n</mi><mo>=</mo><mn>21</mn></mrow></semantics></math></inline-formula>). On average, we found that gaze estimates are reported with an angular accuracy of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.83</mn></mrow></semantics></math></inline-formula> degrees and a precision of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.27</mn></mrow></semantics></math></inline-formula> degrees while the user is resting, which is on par with state-of-the-art mobile eye trackers.