Stress Free Driving

Details to be updated

Vision and Goals

Vision

To be updated

Goal Statement

To be updated

 

Motivation

Driving stress caused by the cognitive workload imposed has been identified as a major cause of car accidents. In order to analyze the stress state during driving, many studies to identify correlations with impaired decision making reduced situational awareness, and poor performance have been conducted. These studies have reported that driving stress is closely related to psychophysical and physiological responses, such as heart rate variability (HRV), pupil diameter, and skin conductance. In fact, the physiological signals measured during driving are known as good indicators of the driver’s stress state, which can be used in early warning systems to prevent accidents by monitoring the driver’s stress. However, in order to accurately measure the physiological signal, there is a constraint that wearable equipment must be accompanied unconditionally. Because of this, there is a limitation that it can be applied only to a limited object in terms of cost, and it may be difficult to accurately collect sensitive physiological signal data when the subject is aware of the test situation when the equipment is worn.

 

To be updated

 

Project Overview

 

To be updated

Team

Dr. Jungyoon Kim
Wearable Device Development, Physiological Data Collection and Analysis
Dr Jong-Hoon Kim
Dr. Jong-Hoon Kim
Immersive Media Enhancement for Virtual Reality based Driving Simulation System Development
Dr. Jangwoon Park
Automobile ergonomics, Statistical modeling, Physiological measurement and analysis
Irvin Cardenas
Irvin Steve Cardenas
Immersive Driving Simulation System Development (Ph.D. Student)
Alfred Shaker
Immersive Driving Simulation System Development (Ph.D. Student)
Xiangxu Lin
Immersive Driving Simulation System Development (Ph.D. Student)
Xiangxu Lin Jacob Lebowitz
Simulator & Physiological Data Analysis (UG Student)

Collaborators

To be updated…

Advisory Board

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