Skip to main content

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.

Related Content

  • May 24, 2018
    Parsons looking to the future – and helping to build it with iNET
    Parsons will use the ITS America Annual Meeting Detroit to show how iNET is shaping the future of smart cities. The company will invite visitors to imagine what their morning commute might be like in the future. An autonomous vehicle picks you up, syncs with your mobile devices to determine where you need to be and when, calculates the best route, and places your order at the local coffee shop moments before stopping to pick it up along the way. This is the future of mobility, and Parsons will show how it
  • November 28, 2017
    Panasonic develops driver drowsiness-control technology
    Panasonic Corporation has developed technology for detecting and predicting a person’s level of drowsiness prior to driving. This technology, which helps prevent drowsy driving, detects a driver’s shallow drowsiness at the initial state by using an in-vehicle camera to capture indicators such as blinking features and facial expressions and processing these signals using artificial intelligence. Using this data, Panasonic’s technology predicts transitions in the driver’s drowsiness level. The technology al
  • April 6, 2018
    The importance of going with the flow
    Ensuring worker safety and up-to-date driver information is crucial to ensure that roadworks are not a source of danger and delay. Andrew Williams looks at a scheme on the A14 in Cambridgeshire, UK. In recent years, portable workzone ITS solutions have emerged as important tools in the management of major roadworks and system upgrade projects - and are viewed as an increasingly vital means of ensuring any ongoing traffic flow disruption is kept to a minimum. The technology forms a central component of an
  • November 14, 2014
    Interior cameras and eye-tracking ‘to dominate driver monitoring technology’
    Global shipments of factory-installed Driver Monitoring Systems (DMS) systems based on interior facing cameras will reach 6.7 million by 2019, according to recent findings from ABI Research. “DMS solutions are expected to gain new momentum as critical support systems for human-machine interactions (HMI) related to ADAS active safety alerts and autonomous-to-manual handover but also as solutions enabling smart dashboards and contextual HMI in an in-vehicle environment increasingly characterized by inform