Greenvec game for skin conductivity level (SCL) biofeedback performance simulator using galvanic skin respnose (GSR) sensor

The increasing fame of biofeedback game has brought convenience to human life. More and more people rely on biofeedback game as an alternative medical treatment to overcome stress problems. Practitioners, meditators, healthcare clinicians and patients are among the most common people who use this bi...

Full description

Saved in:
Bibliographic Details
Main Author: Mohd Azrulnizam, Suna Abdullah
Format: Undergraduates Project Papers
Language:English
Published: 2013
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8721/1/CD8315%20%40%20115.pdf
http://umpir.ump.edu.my/id/eprint/8721/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.8721
record_format eprints
spelling my.ump.umpir.87212021-06-30T03:41:59Z http://umpir.ump.edu.my/id/eprint/8721/ Greenvec game for skin conductivity level (SCL) biofeedback performance simulator using galvanic skin respnose (GSR) sensor Mohd Azrulnizam, Suna Abdullah QA76 Computer software The increasing fame of biofeedback game has brought convenience to human life. More and more people rely on biofeedback game as an alternative medical treatment to overcome stress problems. Practitioners, meditators, healthcare clinicians and patients are among the most common people who use this biofeedback method to handle their stress in a better way. Basically, biofeedback game integrates biofeedback device in their therapy. Different biofeedback devices have unique way to patterned user’s physiological response towards the game. Biofeedback game implements the virtual game to collaborate with these biofeedback devices. Global issues such as the Electric Vehicles (EVs) issue which are part of the green technology solution are rarely found in the existing biofeedback virtual games themes. Therefore this project, GreenVec Game for Skin Conductivity Level (SCL) Biofeedback Performance Simulator using Galvanic Skin Response (GSR) Sensor or mainly known as Green Vehicle Biofeedback Game is a biofeedback game-based application that able to measure SCL of the player with the integration of GSR. The skin conductivity level corresponds to the player’s awareness level about the green Electric Vehicles (EVs) issues. The biofeedback game will also create a short report on the player’s skin conductivity level based on the GSR sensor data and the game data by the end of the game. From the end result, it shows that when the SCL is high, the awareness on the electric vehicles issues is high. While the SCL is low, the awareness on the electric vehicles issues is low. 2013-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8721/1/CD8315%20%40%20115.pdf Mohd Azrulnizam, Suna Abdullah (2013) Greenvec game for skin conductivity level (SCL) biofeedback performance simulator using galvanic skin respnose (GSR) sensor. Faculty of Computer System And Software Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Mohd Azrulnizam, Suna Abdullah
Greenvec game for skin conductivity level (SCL) biofeedback performance simulator using galvanic skin respnose (GSR) sensor
description The increasing fame of biofeedback game has brought convenience to human life. More and more people rely on biofeedback game as an alternative medical treatment to overcome stress problems. Practitioners, meditators, healthcare clinicians and patients are among the most common people who use this biofeedback method to handle their stress in a better way. Basically, biofeedback game integrates biofeedback device in their therapy. Different biofeedback devices have unique way to patterned user’s physiological response towards the game. Biofeedback game implements the virtual game to collaborate with these biofeedback devices. Global issues such as the Electric Vehicles (EVs) issue which are part of the green technology solution are rarely found in the existing biofeedback virtual games themes. Therefore this project, GreenVec Game for Skin Conductivity Level (SCL) Biofeedback Performance Simulator using Galvanic Skin Response (GSR) Sensor or mainly known as Green Vehicle Biofeedback Game is a biofeedback game-based application that able to measure SCL of the player with the integration of GSR. The skin conductivity level corresponds to the player’s awareness level about the green Electric Vehicles (EVs) issues. The biofeedback game will also create a short report on the player’s skin conductivity level based on the GSR sensor data and the game data by the end of the game. From the end result, it shows that when the SCL is high, the awareness on the electric vehicles issues is high. While the SCL is low, the awareness on the electric vehicles issues is low.
format Undergraduates Project Papers
author Mohd Azrulnizam, Suna Abdullah
author_facet Mohd Azrulnizam, Suna Abdullah
author_sort Mohd Azrulnizam, Suna Abdullah
title Greenvec game for skin conductivity level (SCL) biofeedback performance simulator using galvanic skin respnose (GSR) sensor
title_short Greenvec game for skin conductivity level (SCL) biofeedback performance simulator using galvanic skin respnose (GSR) sensor
title_full Greenvec game for skin conductivity level (SCL) biofeedback performance simulator using galvanic skin respnose (GSR) sensor
title_fullStr Greenvec game for skin conductivity level (SCL) biofeedback performance simulator using galvanic skin respnose (GSR) sensor
title_full_unstemmed Greenvec game for skin conductivity level (SCL) biofeedback performance simulator using galvanic skin respnose (GSR) sensor
title_sort greenvec game for skin conductivity level (scl) biofeedback performance simulator using galvanic skin respnose (gsr) sensor
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/8721/1/CD8315%20%40%20115.pdf
http://umpir.ump.edu.my/id/eprint/8721/
_version_ 1705056988738617344
score 13.160551