Identification of an “appropriate” Drowsy Driver Detection Interface for Commercial Vehicle Operations
نویسندگان
چکیده
Considerable progress has been made in measuring drowsiness and understanding its effects upon human performance in the laboratory and in simulated and operational driving conditions. This work builds upon previous research and identifies an appropriate design for a drowsy driver detection interface. A participatory design process was used that included both design experts and drivers in separate focus groups. One expert activity, evaluations of candidate interaction flow models, and two driver activities, critical incident interviews and a design exercise, are described here. The conflict that arose between the drivers’ desires and the desires of the scientific community is that the drivers viewed the system as a loyal servant that would alert the driver when he became drowsy, while the scientific community viewed the system as a trusted advisor that would encourage the driver to stop and rest. The final design has many features to address both of these views.
منابع مشابه
Bilgisayarlı Görü Yöntemleriyle Sürücüde Uykululuğun Sezimi Detecting Driver Drowsiness Using Computer Vision Techniques
The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Here we employ machine learning techniques to detect driver drowsiness. The system obtained 98% performance in predicting driver drowsiness. This is the highest prediction rate reported to date fo...
متن کاملDrowsiness Detection by Thoracic Effort Signal Analysis with Professional Drivers in Real Environments
Objective: The aim of this work is to develop a new index to assess the alertness state of drivers based on the respiratory dynamics derived from an inductive band. Background: Detection of drowsiness while driving is a leading objective in advanced driver assistance systems. A biomedical variable like thoracic effort, which is related to autonomic nervous system, provides direct information of...
متن کاملVehicle-Based Drowsy Driver Detection: Current Status and Future Prospects
Driver drowsiness is a major, though elusive, cause of traffic crashes. As part of its IVHS/human factors program, NHTSA is supporting research to develop in-vehicle systems . to continuously monitor driver alertness and performance. Scientific support for the feasibility of this countermeasure concept is provided by research showing that: l Drowsy drivers typically do not “drop off’ instantane...
متن کاملPrevalence of motor vehicle crashes involving drowsy drivers, United States, 1999-2008.
The proportion of motor vehicle crashes that involve a drowsy driver likely is greater than existing crash databases reflect, due to the possibility that some drivers whose pre-crash state of attention was unknown may have been drowsy. This study estimated the proportion of crashes that involved a drowsy driver in a representative sample of 47,597 crashes in the United States from 1999 through ...
متن کاملDrowsy Driver Detection Through Facial Movement Analysis
The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Previous approaches to drowsiness detection primarily make pre-assumptions about the relevant behavior, focusing on blink rate, eye closure, and yawning. Here we employ machine learning to datamin...
متن کامل