Exploring a Methodology for Automatically Detecting Positive or Negative Events in a Virtual Racing Game

Exploring a Methodology for Automatically Detecting Positive or Negative Events in a Virtual Racing Game

We describe a work-in-progress that attempts to detect anxiety in drivers while exposed to a virtual racing game. The detection system is a combination of two Nintendo Wii Balance Boards, parallel video recording of in-game events and facial expressions, and the OCZ Technology's Neural Impulse...

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Bibliographic Details
Main Authors: Sugay, Jessica, Dy, Thomas, Macam, Francis Jan P, Rodrigo, Ma. Mercedes T
Format: text
Published: Archīum Ateneo 2011
Subjects:
Anxiety
Drivers
Affect Detection
Computer Sciences
Online Access:https://archium.ateneo.edu/discs-faculty-pubs/178
http://penoy.admu.edu.ph/~alls/wp-content/uploads/2012/03/pcjaec11_submission_10-Sugay-et-al.pdf
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Institution: Ateneo De Manila University
id ph-ateneo-arc.discs-faculty-pubs-1177
record_format eprints
spelling ph-ateneo-arc.discs-faculty-pubs-11772020-06-30T06:56:49Z Exploring a Methodology for Automatically Detecting Positive or Negative Events in a Virtual Racing Game Sugay, Jessica Dy, Thomas Macam, Francis Jan P Rodrigo, Ma. Mercedes T We describe a work-in-progress that attempts to detect anxiety in drivers while exposed to a virtual racing game. The detection system is a combination of two Nintendo Wii Balance Boards, parallel video recording of in-game events and facial expressions, and the OCZ Technology's Neural Impulse Actuator (NIA) braincontrolled headset. We attempt to establish a relationship among the various physiological and physical signals with occurrences of anxiety as coded by human observers when viewing video recordings of facial expressions. 2011-01-01T08:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/178 http://penoy.admu.edu.ph/~alls/wp-content/uploads/2012/03/pcjaec11_submission_10-Sugay-et-al.pdf Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo Anxiety Drivers Affect Detection Computer Sciences
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Anxiety
Drivers
Affect Detection
Computer Sciences
spellingShingle Anxiety
Drivers
Affect Detection
Computer Sciences
Sugay, Jessica
Dy, Thomas
Macam, Francis Jan P
Rodrigo, Ma. Mercedes T
Exploring a Methodology for Automatically Detecting Positive or Negative Events in a Virtual Racing Game
description We describe a work-in-progress that attempts to detect anxiety in drivers while exposed to a virtual racing game. The detection system is a combination of two Nintendo Wii Balance Boards, parallel video recording of in-game events and facial expressions, and the OCZ Technology's Neural Impulse Actuator (NIA) braincontrolled headset. We attempt to establish a relationship among the various physiological and physical signals with occurrences of anxiety as coded by human observers when viewing video recordings of facial expressions.
format text
author Sugay, Jessica
Dy, Thomas
Macam, Francis Jan P
Rodrigo, Ma. Mercedes T
author_facet Sugay, Jessica
Dy, Thomas
Macam, Francis Jan P
Rodrigo, Ma. Mercedes T
author_sort Sugay, Jessica
title Exploring a Methodology for Automatically Detecting Positive or Negative Events in a Virtual Racing Game
title_short Exploring a Methodology for Automatically Detecting Positive or Negative Events in a Virtual Racing Game
title_full Exploring a Methodology for Automatically Detecting Positive or Negative Events in a Virtual Racing Game
title_fullStr Exploring a Methodology for Automatically Detecting Positive or Negative Events in a Virtual Racing Game
title_full_unstemmed Exploring a Methodology for Automatically Detecting Positive or Negative Events in a Virtual Racing Game
title_sort exploring a methodology for automatically detecting positive or negative events in a virtual racing game
publisher Archīum Ateneo
publishDate 2011
url https://archium.ateneo.edu/discs-faculty-pubs/178
http://penoy.admu.edu.ph/~alls/wp-content/uploads/2012/03/pcjaec11_submission_10-Sugay-et-al.pdf
_version_ 1722366466610692096

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