Affectiva and Nuance to develop humanised automotive assistant

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
September 7, 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 emotion and cognitive state detection. It currently facilitates this correspondence through gesture, touch, gaze detection, 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.

UTC

Related Content

  • December 21, 2017
    Nuance connected services for Audi 8
    Nuance Communications is supplying its cloud-based Dragon Drive speech recognition connected car platform to provide conversational and connected car services for the Audi 8. Dragon Drive uses natural language and text-to-speech to understand and respond to the driver’s commands.
    Read More
  • June 17, 2016
    Artificial intelligence systems for autonomous driving on the rise, says IHS
    According to the latest report from market research firm HIS, Automotive Electronics Roadmap Report, as the complexity and penetration of in-vehicle infotainment systems and advanced driver assistance systems (ADAS) increases, there is a growing need for hardware and software solutions that support artificial intelligence, which uses electronics and software to emulate the functions of the human brain. In fact, unit shipments of artificial intelligence (AI) systems used in infotainment and ADAS systems are
    Read More
  • November 30, 2012
    Intel investing in vehicles’ connected future
    Prospects for a vision of vehicles fully connected to traffic information, safety and entertainment services are being boosted by a $100 million investment from Intel. Pete Goldin reports. Hear the name Intel and what comes to mind is processing power. What may not be realised is that Intel is positioned to become a major player in the automotive technologies market, including connected vehicle technology. To strengthen this position, the company’s investment arm, Intel Capital, has established a $100 milli
    Read More
  • November 3, 2015
    New hands-free technologies pose hidden dangers for drivers
    Potentially unsafe mental distractions can persist for as long as 27 seconds after dialling, changing music or sending a text using voice commands, according to surprising new research by the AAA Foundation for Traffic Safety. The results raise new and unexpected concerns regarding the use of phones and vehicle information systems while driving. This research represents the third phase of the Foundation’s comprehensive investigation into cognitive distraction, which shows that new hands-free technologies ca
    Read More

Highlighted Content