- #VIDEO VIEWER GLASSES MANUAL#
- #VIDEO VIEWER GLASSES PRO#
- #VIDEO VIEWER GLASSES SOFTWARE#
- #VIDEO VIEWER GLASSES CODE#
2016 Kothari et al., 2019), and that none of these appear to be implemented in commercial software for head-worn eye-tracking data analysis. Important to note here is that only few event classification algorithms are available that are developed for head-worn eye tracker signals (Hooge & Camps, 2013 Hessels et al., in press Larsson & et al. First, event classification (the labeling of parts of, e.g., the eye-tracking data as, e.g., “fixations” and “saccades”, see Hessels et al., 2018) is commonly performed to extract episodes of the recording for further analysis.
#VIDEO VIEWER GLASSES PRO#
The Tobii Pro Glasses 2, a system that records binocular gaze direction, furthermore provides pupil size, the 3D orientation of each eye ball in a coordinate system fixed to the headset, and gyroscope and accelerometer data indicating movement of the headset.Īnalysis of head-worn eye-tracking data often happens in multiple steps. The typical output of a head-worn eye-tracking setup consists of the video of the scene camera along with gaze direction, usually reported in the video frame of the scene camera.
#VIDEO VIEWER GLASSES CODE#
The images from one or more eye cameras are processed by firmware or software-the headset and the gaze processing code together form an eye-tracking setup. Second, there are one or more cameras that film one or both eyes of the participant.
First, there is a scene camera that is pointed forward and films the world in front of the participant. Head-worn eye trackers typically consist of some form of headset or glasses on which multiple cameras are mounted. The opportunity afforded by head-worn eye-tracking setups to acquire data on the visual behavior of participants who freely move around has enabled researchers to conduct studies in fields such as vision science (Land, 1992 Land & Lee, 1994 Ballard et al., 1995 Pelz & Canosa, 2001 Matthis et al., 2018), social interaction between adults (Ho et al., 2015 Rogers et al., 2018 Macdonald & Tatler, 2018 Rogers et al., 2019) or children and their parents (Yu & Smith, 2017 Suarez-Rivera et al., 2019), usability (Masood & Thigambaram, 2015 Bergstrom & Schall, 2014), marketing (Harwood & Jones, 2014), decision making (Gidlöf et al., 2013 Gidlöf et al., 2017), surgery (Dik et al., 2016 Harrison et al., 2016), navigation and wayfinding (Kiefer et al., 2014 Koletsis et al., 2017) and education (McIntyre et al., 2017 McIntyre & Foulsham, 2018). In the past several decades, mobile (head-worn) eye tracking has become a popular research method that has found widespread use across a range of fields. ( 2018), enabling a completely open-source workflow for analyzing Tobii Pro Glasses 2 recordings. Lastly, the toolbox provides integration with the GazeCode tool by Benjamins et al.
#VIDEO VIEWER GLASSES MANUAL#
In this latter interface, segments of data can furthermore be labeled through user-provided event classification algorithms or by means of manual annotation. The software provides the following functionality written in MATLAB: (1) a graphical interface for navigating the study- and recording structure produced by the Tobii Glasses 2 (2) functionality to unpack, parse, and synchronize the various data and video streams comprising a Glasses 2 recording and (3) a graphical interface for viewing the Glasses 2’s gaze direction, pupil size, gyroscope and accelerometer time-series data, along with the recorded scene and eye camera videos. We present GlassesViewer, open-source software for viewing and analyzing eye-tracking data of the Tobii Pro Glasses 2 head-mounted eye tracker as well as the scene and eye videos and other data streams (pupil size, gyroscope, accelerometer, and TTL input) that this headset can record.
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