Affectiva and Nuance to offer assistance

US company Affectiva plans to develop a joint automotive assistant which detects driver distraction and drowsiness and voices recommendations such as navigating to a coffee shop. The solution is intended to align its dialogue to a motorist’s emotional state based on facial and verbal expressions. The integrated solution will combine the Affectiva Automotive AI solution with UK-based Nuance Communications’ Dragon Drive platform. Affectiva Automotive AI measures facial expressions and emotions such as ange
December 6, 2018 Read time: 2 mins
US company Affectiva plans to develop a joint automotive assistant which detects driver distraction and drowsiness and voices recommendations such as navigating to a coffee shop. The solution is intended to align its dialogue to a motorist’s emotional state based on facial and verbal expressions.


The integrated solution will combine the Affectiva Automotive AI solution with UK-based Nuance Communications’ Dragon Drive platform.

Affectiva Automotive AI measures facial expressions and emotions such as anger and surprise as well as verbal expressions in real time. It also displays icons which indicate drowsiness such as yawning, eye closure and blink rates and physical or mental distraction.Through the partnership, Dragon Drive will enable the in-car assistant to interact with passengers via emotional and cognitive state detection. It currently facilitates this correspondence through gesture, touch, gaze detection and voice recognition powered by natural language understanding.

Stefan Ortmanns, executive vice president and general manager, Nuance Automotive, says these additional modes of interaction will help its OEM partners develop automotive assistants which can ensure the safety and efficiency of connected and autonomous cars.

In the future, the automotive assistant may also be able to take control of semi-autonomous vehicles if the driver displays signs of physical or mental distraction.

Detection, Monitoring & Machine Vision

Related Content

  • Data sharing for Flow Labs & Michelin Mobility Intelligence
    June 7, 2024
    'We now have the tools to anticipate crashes and take steps to prevent them'
    Read More
  • Level 4/5 autonomous driving will be possible in the next five years, says research
    May 9, 2017
    Growing consumer preference for convenience-enhancing technologies and automobiles-as-a-service options helped double the adoption of vehicles with automated driving features in 2016, says Frost & Sullivan’s mobility team. Going forward, large-scale investments from original equipment manufacturers (OEMs) will refine the use of artificial intelligence (AI) and cognitive cloud-based technology solutions even further, enabling level 4/5 autonomous driving within the next five years. Retrofitted automated driv
    Read More
  • Development of cooperative driving applications for work zones
    July 17, 2012
    The German AKTIV project is researching several cooperative driving applications for use in work zones. PTV's Michael Ortgiese details progress. The steep increases in traffic volumes predicted back in the early 1990s have unfortunately been proven to be more than accurate. In Germany, the AKTIV project continues to look into cooperative technologies' potential to reduce the impact of those increased traffic volumes and keep traffic moving despite limitations in infrastructure capacity.
    Read More
  • SPONSORED CONTENT: Using AI to achieve real traffic intelligence
    June 3, 2020
    The application of artificial intelligence has the potential to transform the performance of vision-based systems used for a wide and growing set of applications. These include vehicle presence detection and identification, count and classification, and enforcement, explains Roy Czinku of International Road Dynamics
    Read More

Highlighted Content