Cognitive Occupational Safety for Human-Machine Interaction

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Berlin eemagine Medical Imaging Solutions GmbH
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The project KAMeri focuses on the improvement of occupational safety in a working context by analysing brainwaves and adapting human-maschine interaction according to the worker’s cognitive state. An new easy-to-use EEG-headset is developed to capture brainwaves. The brainwaves are analysed to detect safety-relevant kognitive states like e.g. fatique and adjust the robot’s behavior.

Duration: 01.08.2018 till 31.07.2021
Donee: German Research Center for Artificial Intelligence GmbH
Sponsor: Federal Ministry of Education and Research
Grant number: Funded by the Federal Ministry of Education and Research with grant no. 16SV8023.

eemagine Medical Imaging Solutions GmbH, Berlin
August-Wilhelml-Scheer Institut, Saarbrücken
NEXT.robotics GmbH & Co. KG, Villingen-Schwenningen

Application Field: Logistics, Production and Consumer
Related Projects: TransFIT
Flexible Interaction for infrastructures establishment by means of teleoperation and direct collaboration; transfer into industry 4.0 (07.2017- 12.2021)
Semi-autonomous cooperative exploration of planetary surfaces including the installation of a logistic chain as well as consideration of the terrestrial applicability of individual aspects (05.2013- 12.2017)
Virtual Immersion for holistic feedback control of semi-autonomous robots (01.2008- 12.2010)
Related Software: pySPACE
Signal Processing and Classification Environment written in Python

Project details

With a new, innovative approach, this research project aims to make a crucial contribution to improving occupational health and safety and working conditions in environments characterised with close human-robot interaction.

The first goal of the project is to measure the cognitive state, for example the stress level or the concentration ability of the workers and thus to optimize the interaction with robots and machines in real time with regard to increased safety.

The cognitive states will be measured by brain-computer interfaces integrated in headsets, which permanently record brainwaves via EEG and are evaluated using modern analysis methods. The information obtained in this way is used to adapt the work processes to be performed. For example, if the worker's attention decreases, the robot involved in the process should automatically slow down the speed.

In this way, the second objective can be achieved: a reduction in the number of accidents at work that occur when humans and robots work together, and a promotion of the physical and mental health of employees. From a technological point of view, the research project is intended to enable a new form of human-machine interaction in production that will make cooperation between humans and robots more intuitive, efficient and ergonomic.



Continuous Mental State Detection for Mental Ergonomics
Marc Tabie, Mathias Trampler, Marco Rotonda, Nadine Heere, Elsa Andrea Kirchner
In NEC, (NEC-2021), 11.9.-16.9.2021, o.A., 2021.


Cognitive Work Protection - a new approach for occupational safety in human-machine interaction
Christian Neu, Elsa Andrea Kirchner, Su-Kyoung Kim, Marc Tabie, Christian Linn, Dirk Werth
Editors: Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph
In Information Systems and Neuroscience NeuroIS Retreat 2018, Springer, pages 211-220, Nov/2018. ISBN: 978-3-030-01087-4.

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