Behavior Research Methods · 2022 · 17 citations · 21 references
ComputingMechatronics EngineeringComputer VisionSensorsVisual PerceptionHead-eye CoordinationMotion CaptureTracking SystemsVisual OdometryVisual TrackingCamerasEye Tracking SensorsHead TrackingPose TrackingRgb-d PerceptionRgb-d ReconstructionRgb-d Visual OdometryWearable Activity Trackers
We describe the design and performance of a high-fidelity wearable head-, body-, and eye-tracking system that offers significant improvement over previous such devices. This device's sensors include a binocular eye tracker, an RGB-D scene camera, a high-frame-rate scene camera, and two visual odometry sensors, for a total of ten cameras, which we synchronize and record from with a data rate of over 700 MB/s. The sensors are operated by a mini-PC optimized for fast data collection, and powered by a small battery pack. The device records a subject's eye, head, and body positions, simultaneously with RGB and depth data from the subject's visual environment, measured with high spatial and temporal resolution. The headset weighs only 1.4 kg, and the backpack with batteries 3.9 kg. The device can be comfortably worn by the subject, allowing a high degree of mobility. Together, this system overcomes many limitations of previous such systems, allowing high-fidelity characterization of the dynamics of natural vision.
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Moritz Kassner, William Patera, Andreas Bulling · 2014 · 751 citations
Frequency and velocity of rotational head perturbations during locomotion
Gerald Grossman, R. John Leigh, Larry A. Abel et al. · Experimental Brain Research · 1988 · 581 citations · Full text
Intel(R) RealSense(TM) Stereoscopic Depth Cameras
Leonid Keselman, J. Woodfill, A. Grunnet-Jepsen et al. · 2017 · 432 citations