NDLI: Toward detection of unsafe driving with inertial head-mounted sensors

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Toward detection of unsafe driving with inertial head-mounted sensors

Toward detection of unsafe driving with inertial head-mounted sensors

Content Provider	ACM Digital Library
Author	Li, Hongyu Karatas, Cagdas Liu, Luyang
Abstract	This paper explores the potential for the inertial sensors on head-mounted devices (HMDs) such as Google Glass, and mobile devices to identify driving activities and unsafe driving. Particularly, we study whether the inertial sensors on HMDs, can detect whether their user is operating the vehicle and infer where the driver's visual attention is focused at by tracking the driver's head without relying on cameras on the HMD or the vehicle. Detecting user's vehicle operation through head movements can help prevent the driver's interactive usage of HMD, which can cause distracted driving. Tracking driver's head movements and the driver's focus of visual attention can detect unsafe driving and additionally enable many safety applications. Our approach relies on head movements that are specific to a driver. Once the system detects the vehicle's operation, head movements can be further utilized to detect distracted driving, to predict driver behaviors and to detect inadequate surveillance cases where the driver failed to look in the appropriate place to complete a maneuver.
Starting Page	45
Ending Page	47
Page Count	3
File Format	PDF EPUB
ISBN	9781450342551
DOI	10.1145/2987354.2987369
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Head-mounted Imu sensors Driver detection Safety
Content Type	Text
Resource Type	Article

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