4.34 - BBAI - Brain Behavior Analysis Using The Most Advanced Artificial Intelligence And Computer Vision

Project Description

The BBAI project focuses on the detection and mitigation of poor psychomotor efficiency conditions in the context of vehicle driving, such as fatigue, stress, cognitive load and distraction, which are responsible for more than 90% of road accidents, with estimated costs of hundreds of billions of euros per year. Distraction is the biggest cause of accidents worldwide, followed by falling asleep, and only afterwards coming speed, excessive drinking, and others. Stress and cognitive load, on the other hand, are responsible for aggressive and inattentive driving, causing an increased risk to the traffic and health, so informing the driver of their condition becomes critical. While behaviours such as alcohol or speeding can be quantified and measured with proper equipment, and consequently monitored and prevented, other behaviours, such as those described above, are not yet sufficiently analysed, and therefore, are difficult to prevent. In this context, the BBAI project aims to research and innovate in the development of artificial intelligence algorithms capable of identifying, through visual computing, physiological and psychological states that are dangerous to driving, using the most advanced techniques in the collection and tagging of data collected in real and simulated driving environments. All the algorithms developed during the project will be put to the test in the field through a mobile application. The BBAI project is promoted by four complementary entities, namely Polygon, the Faculty of Engineering of Porto (FEUP), Instituto da Construção (IC) and FMUP/CINTESIS (Faculty of Medicine of the University of Porto/Center for Health Technology and Services Research).

CITTA research team
  • António José Fidalgo do Couto 
  • José Pedro Maia Pimentel Tavares                         
  • Sara Maria Pinho Ferreira (PI)

Other partners

  • Beyond Emotions, Lda. (Coordinator)                                   
  • Faculty of Medicine of the University of Porto
  • Instituto da Construção
Financial support
  • Agência Nacional de Inovação
Stage of progress
  • Concluded in 2023