FAU College of Engineering and Computer Science receives US utility model for “adaptive mood control in partially or fully autonomous vehicles”
Americans have one of the greatest anxieties in the world when it comes to technologies related to robotic systems and self-driving cars. Addressing these concerns is paramount if technology is to advance.
A researcher from the College of Engineering and Computer Science at Florida Atlantic University has developed a new technology for autonomous systems that responds to human emotions based on machine-learned human moods. His solution “Adaptive Mood Control in Semi or Fully Autonomous Vehicles” has received a very competitive utility model from the US Patent and Trademark Office for FAU.
Adaptive Mood Control provides a comfortable, enjoyable, and most importantly, trustworthy experience for people interacting with autonomous vehicles. The technology can be used in a wide variety of autonomous systems, including self-driving cars, autonomous military vehicles, autonomous aircraft or helicopters, and even social robots.
“The uniqueness of this invention is that the operating modes and parameters related to perceived emotions are exchanged with neighboring vehicles in order to achieve the goals of the adaptive mood control module in the semi- or fully autonomous vehicle in a cooperative driving context,” said Mehrdad Nojoumian, Ph .D ., Inventor and Associate Professor in the Department of Computer and Electrical Engineering and Computer Science and Director of the Privacy, Security and Trust in Autonomy Lab. “The interaction between humans and AI / autonomy is the focus of attention from science and industry. In particular, the trust between humans and AI / autonomous technologies plays a decisive role in this area, as it has a direct impact on the social acceptance of these modern technologies. ”
The patent entitled “Adaptive Mood Control in Semi or Fully Autonomous Vehicles” uses non-intrusive sensory solutions in semi or fully autonomous vehicles to perceive the mood of drivers and passengers. Information is collected based on facial expressions, sensors in the handles / seats and thermal cameras and other surveillance devices. In addition, the adaptive mood control system includes real-time machine learning mechanisms that can learn driver and passenger moods over time. The results are then sent to the autonomous vehicle’s software system so that the vehicle can respond to perceived emotions by selecting an appropriate operating mode such as normal, cautious, or attentive driving mode.
“One of the main problems with the technology of fully or partially autonomous vehicles is that they may not be able to accurately predict the behavior of other self-driving and human-driving vehicles. This prediction is essential to properly navigating autonomous vehicles on roads, ”said Stella Batalama, Ph.D., dean of the College of Engineering and Computer Science. “Professor Nojoumian’s innovative and cutting-edge technology circumvents this problem by using machine learning algorithms to learn behavioral patterns from people who drive these vehicles.”
About the FAU University of Technology and Computer Science:
The FAU University of Engineering and Computer Science is internationally recognized for cutting-edge research and teaching in the fields of computer science and artificial intelligence (AI), technical computer science, electrical engineering, biotechnology, civil engineering, environmental and geomatic engineering, mechanical engineering and ocean engineering. The research conducted by the faculty and its teams exposes students to technological innovations that advance the state of the art in science. The college’s research efforts are supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), the Department of Defense (DOD), the Department of Transportation (DOT), the Department of Education (DOEd), the State of Florida, and industry. The College of Engineering and Computer Science at FAU offers modern degrees with specializations in areas of national priority such as AI, cybersecurity, Internet-of-Things, transport and supply chain management and data science. The new courses include the Master of Science in AI (first in Florida), the Master of Science in Data Science and Analytics, and the new Professional Master of Science in Computer Science for professionals. For more information about the college, visit eng.fau.edu.
About Florida Atlantic University:
Florida Atlantic University, founded in 1961, officially opened in 1964 as the fifth public university in Florida. Today the university looks after more than 30,000 undergraduate and postgraduate students at six locations along the southeast coast of Florida. In recent years the university has doubled its research spending and outperformed its competitors in academic achievement. Through the coexistence of access and excellence, FAU embodies an innovative model in which traditional performance gaps disappear. FAU is named a Hispanic Institution, rated by the US News & World Report as one of the best public universities, and by the Carnegie Foundation for the Advancement of Teaching as an institution with high research activity. Further information is available at http: // www.