Emotion picture

A 3D generation of facial recognition technology that can sense a driver's mood is being investigated by researchers at Toyota and the University of Manchester, and it could be of great relevance to vehicle safety. In its applied use, the system in a car would increase the alert time it gives the driver, if it senses that the driver is sad or angry, in order to provide more time to react to a possible collision. Prototypes with this mood-sensing have been developed, with system intelligence based around machine vision cameras and smart algorithms. Improved driver monitoring systems offer the chance to drivers to take action at an earlier stage, or, as a last resort, for the the car to take over autonomously.

• Record URL:
  • http://viewer.zmags.com/publication/b44e962a#/b44e962a/26
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/20144447
• Authors:
  • Bradley, Nick
• Publication Date: 2012-6

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos;
• Pagination: pp 24-25, 27-28
• Serial:
  • Vision Zero International
  • Publisher: UKIP Media & Events
  • ISSN: 2014-4447
  • Serial URL: http://www.ukipme.com/mag_vision_zero.htm

Subject/Index Terms

• TRT Terms: Algorithms; Crash avoidance systems; Drivers; Intelligent control systems; Machine vision; Prototypes; Vehicle safety
• Candidate Terms: Face recognition
• Uncontrolled Terms: Mood
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment; I73: Traffic Control; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01375955
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 18 2012 4:13PM