The Human Factors pack is designed for engineers willing to evaluate the driver’s performance and behavior as well as to carry out studies on fatigue, drowsiness, vigilance, effects of drugs, and driving under the influence.
Head and eye movements, breathing, heart rate, physiological measurements, video recordings, and connection to virtual reality systems
Interface and synchronization between eye tracking systems and SCANeR.
Note: If your hardware is not on the list above, please do not hesitate to contact our service for further information, it may have been added recently following an evolution. SCANeR provides open interfaces and a Studio Software Development Kit (SDK), allowing you to integrate and synchronize virtually any external device. User can also contact the support team.
Interface and synchronization between position-tracking devices and SCANeR.
Interface and synchronization of an HMD device, like HTC Vive and Varjo, with SCANeR.
For the HTC Vive a Steam account is required.
Interface and synchronization between electrophysiological devices and SCANeR.
This feature allows to record video stream coming from video cameras. The video stream records are synchronized with all SCANeR studio simulation data.
To merge real images from a camera with synthetic images
A pair of stereo cameras mounted on a binocular head-mounted display allows the user to see live images from the real world combined with the SCANeR’s 3D visual rendering. This feature includes dedicated tools to set-up the complete workflow, from stereo camera calibration to the final rendering display.
L’objectif de ces études est de mesurer l’exhaustivité de l’infrastructure routière. Le pack Human Factors vous permettra d’enregistrer et d’analyser, selon vos propres critères, la réaction du conducteur face aux différentes infrastructures routières.
Dans les études d’ergonomie et d’IHM, les capteurs sont souvent utilisés pour suivre les mouvements de la tête, des yeux et des mains des sujets d’essai. Le pack Human Factors permet un enregistrement précis et synchronisé des données de simulation et des actions du conducteur. Lors de l’analyse des conducteurs dans des conditions de stress, les données antérieures peuvent être complétées par des mesures physiologiques.

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