Robots and autonomous vehicles were taught to read human emotions

A researcher at the Florida Atlantic University College of Engineering and Computer Science has developed an AI-based technology that detects human emotions so that the user is not afraid of robots or autonomous vehicles.

The technology can be used in a wide range of systems, such as autonomous vehicles, military vehicles, autonomous aircraft and helicopters, and social robots.

The uniqueness of this invention lies in the fact that modes of operation and parameters associated with 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 latest data 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 the facial expressions of a person, from sensors in the 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.

Then the results are sent to the software system of the autonomous vehicle: based on the results of the analysis, the vehicle reacts to perceived emotions, selects the appropriate operating mode.

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Author: John Kessler
Graduated From the Massachusetts Institute of Technology. Previously, worked in various little-known media. Currently is an expert, editor and developer of Free News.
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John Kessler

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