2022 journal article

Real-Time Driving Distraction Recognition Through a Wrist-Mounted Accelerometer

HUMAN FACTORS, 64(8), 1412–1428.

By: Z. Xie n, L. Li n & X. Xu n 

author keywords: accident analysis; distractions and interruptions; risk assessment; biomechanics; kinematics
MeSH headings : Humans; Accidents, Traffic; Wrist; Pilot Projects; Automobile Driving; Accelerometry
TL;DR: The results of this pilot study indicate that the proposed driving distraction mitigation system that uses a wrist-worn IMU and ConvLSTM deep neural network classifier may have potential for improving transportation safety. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: April 5, 2021

Objective We propose a method for recognizing driver distraction in real time using a wrist-worn inertial measurement unit (IMU).