Data Set Driving simulation

Published on August 17th, 2017 | by


Tracking How Drivers Get Distracted

Researchers at the University of Houston and Texas A&M University have created a dataset of biometric information of drivers as they were exposed to distractions while in a driving simulator. The researchers used cameras, heart and respiration rate sensors, palm sensors, and eye tracking technology to monitor 68 volunteers operating a driving simulator to analyze biological responses to  potentially distracting activities such as texting and emotional distress. This data could help researchers develop technologies that can quickly identify when a driver is becoming distracted and prompt an intervention.

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