Robots and autonomous vehicles were taught to read human emotions

The technology can be used in a wide range of systems, for example, in autonomous transport, military

technology, autonomous airplanes and helicopters and social robots.

The uniqueness of this invention lies in the factthat modes of operation and parameters related to perceived emotions are transferred from one nearby mode of transport to another in order to control the context of co-driving.

Mehrdad Nojumyan, Ph.D., Inventor, Associate Professor of the Department of Computer Science and Electrical Engineering

The new development is relevant in the context of the latestdata published by sociologists, according to which Americans have one of the highest levels of fear in the world for robotic systems and self-driving cars.

Information is collected based on facial expressionsperson, from sensors in seats and thermal imaging cameras among. In addition, the adaptive mood management system contains real-time machine learning mechanisms that learn to better determine the mood of the driver and passengers after each use.

The results are then sent to the softwareautonomous vehicle system: based on the analysis results, the vehicle reacts to perceived emotions, selects the appropriate operating mode.

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