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Detection of Distraction Under Naturalistic Driving Using Galvanic Skin Responses

This study investigates using galvanic skin responses (GSR) measured by a wrist-worn device to detect driver distraction under naturalistic driving conditions. An experiment was conducted with 6 drivers where GSR data was collected. The results showed high accuracy in detecting distraction for individual drivers. Methods for subject-independent detection using nonlinear transformations of the GSR data were also explored. Existing approaches often detect distraction too late or use intrusive EEG sensors. This study suggests GSR may provide a less intrusive alternative for early detection of driver distraction.

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Makesh MäKz
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66 views5 pages

Detection of Distraction Under Naturalistic Driving Using Galvanic Skin Responses

This study investigates using galvanic skin responses (GSR) measured by a wrist-worn device to detect driver distraction under naturalistic driving conditions. An experiment was conducted with 6 drivers where GSR data was collected. The results showed high accuracy in detecting distraction for individual drivers. Methods for subject-independent detection using nonlinear transformations of the GSR data were also explored. Existing approaches often detect distraction too late or use intrusive EEG sensors. This study suggests GSR may provide a less intrusive alternative for early detection of driver distraction.

Uploaded by

Makesh MäKz
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as DOC, PDF, TXT or read online on Scribd
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DETECTION OF DISTRACTION UNDER NATURALISTIC

DRIVING
USING GALVANIC SKIN RESPONSES
ABSTRACT:

Distracted driving is the major cause for injuries and fatalities due to road
accidents. Driving is a continuous task which requires constant attention of
the driver; a certain level of distraction can cause the driver lose his/her
attention to the driving task which might lead to an accident. Thus, detection
of distraction will help reduce the number of accidents. There has been much
research conducted for automatic detection of driver distraction. Many
previous approaches have employed camera based techniques. However
these methods might detect the distraction rather late to warn the drivers. On
the other hand, neuro physiological signal using Electroencephalography
(EEG) have shown to be reliable indicator of distraction. However EEG
signals are very complex and the technology is intrusive to the drivers,
which creates serious doubt for its practical applications. The objective of
this study is to investigate if Galvanic Skin Responses (GSR) can be used to
detect distraction under naturalistic driving condition using a wrist band
wearable. Six driver subjects participated in our realistic driving
experiments. Our experimental results demonstrated high accuracies of
detection under subject dependents scenarios. We also investigated the
possibility of subject independent distraction detection employing non-linear
space transformation based on kernel analysis and support vector.
EXISTING SYSTEM:

Distraction occurs when drivers divert their attention from driving task to a
secondary activity instead such as having phone conversation, texting, using
the infotainment system, using the GPS, talking to the passenger, eating or
drinking while driving. Using phone for either calling or texting is one of the
most common distracting tasks. It is crucial to notify the driver at the early
stages of distraction in order to minimize the associated risk for disasters on
the road. Much research has been conducted to develop reliable systems to
detect distraction.

PROPOSED SYSTEM:

Many previous approaches have been employed that either detect the
distraction rather late to warn the drivers or while shown to be reliable
indicator of distraction, the technology is intrusive to the drivers.
BLOCK DIAGRAM:

TRANSMITTER SECTION:

LCD DISPLAY

GSM

AT89S52

RF-TX Micro controller


UART
RECEIVER SECTION:

LCD

RF_RX RELAY

MICRO
CONTROLLER
GSR SENSOR
TOY CAR

ULTRASONIC
SENSOR

POWER
SUPPLY
HARDWARE REQUIREMENTS:
 MICRO CONTROLLER (AT89S52)
 GSM
 RF_TX
 RF_RX
 RELAY
 ULTRASONIC SENSOR
 GSR SENSOR
 TOY CAR

SOFTWARE REQUIREMENTS:
 EMBEDDED C

 KEIL IDE

 VISUAL BASIC

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