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Case Studies

University Bielefeld

How are human actions planned, executed and controlled

In the movement analysis laboratories of the research group Neurocognition and Movement, the question of how human actions are planned, executed and controlled is investigated. This includes basic research on cognition, memory and perception in the context of simple grasping actions as well as research on motor and perceptual-cognitive adaptations during the acquisition of complex sport motor skills. To this end, they combine biomechanical measurement methods with research approaches from cognitive psychology, biological cybernetics and neuroinformatics. By embedding them in the interdisciplinary Cluster of Excellence CITEC, they support the development of technical systems that are intuitive and easy to use for humans.

Recommended Products

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.

The Optima is the flagship among force plates. The patented calibration technology guarantees the highest possible accuracy across the entire surface of the plate – ideal for gait analysis, biomechanical research and other applications where the highest quality data is essential.

The Cometa Pico (EMG) sensors are small, light-weight and have on-board storage to allow measurements in the field. Easy to attach and easy to charge, the long battery life, the high signal-to-noise ratio and the wireless range are other features that make the aktos the best EMG system on the market today.

FAMULA – the self-learning robot hand

Researchers at Bielefeld University have developed a gripping system with robotic hands that independently familiarises itself with unknown objects. The new system works without knowing the characteristics of objects like fruit or tools beforehand. The gripping-learning system was developed in the large-scale project «Famula» of the Cluster of Excellence Cognitive Interaction Technology (CITEC) at Bielefeld University. The knowledge gained from the project could, for example, help future service robots to familiarise themselves with new households.

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