Cognitive Systems

The Cognitive Systems research group at Reutlingen University develops applications based on computer vision, machine learning and computer graphics in combination with methods for modelling human cognitive processes. Realistic simulations in the laboratory and real-time data from the latest technology enable complex experiments that form the basis for optimising human-machine interaction.

(Copyright Video «Faculty of Computer Science Reutlingen University 2017»)

Equipment Used

Vantage is Vicon’s flagship range of cameras. The sensors have resolutions of 5, 8 and 16 megapixels, with sample rates up to 2000Hz – this allows you to capture fast movements with very high accuracy. The cameras also have built-in temperature and bump sensors, as well as a clear display, to warn you if cameras have moved physically or due to thermal expansion. High-powered LEDs and sunlight filters mean that the Vantage is also the best choice for outdoor use and large volumes.

Shogun has been designed for the requirements and workflow of VFX/Entertainment users. The focus is to save time, and this is achieved by doing as much in real time as possible. To this end, Shogun introduces unique features such as real time actor calibration, automatic recovery of bumped cameras and unbreakable solving – the latter enables you to get a good skeletal solve even when a high proportion of markers is occluded, which again minimizes clean-up time afterwards.

The Dikablis Eye Tracking Glasses combine monocular and binocular eye tracking with high measuring accuracy and standardized parameter calculation – even for people wearing glasses. As a result, they offer the ideal basis for studying human behavior in highly dynamic applications. Connect our head mounted eye tracker to the D-Lab measurement and analysis platform to capture and analyze gaze data in several ways.

MoCap 4.0 Project

The MoCap 4.0 project is part of the teaching and research area of Cognitive Systems of the Faculty of Computer Science. The group deals with technical perception processes and their integration into assistance systems. The focus is also on functions for recognising pedestrians and predicting their movement intentions. MoCap 4.0 consists of a high-precision optical tracking system for analysing body movements, mobile devices for recording gaze behaviour and a 3D scanner for the lifelike digitisation of human bodies.

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