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Greenvec game for skin conductivity level (SCL) biofeedback performance simulator using galvanic skin respnose (GSR) sensor / Mohd Azrulnizam Suna Abdullah

By:

Mohd Azrulnizam Suna Abdullah

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2013Description: xiv, 115 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:

THE0001806(Local)

Subject(s):

Dissertation note: Project paper (Bachelor of Computer Science (Software Engineering) -- Universiti Malaysia Pahang - 2013 Abstract: 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.

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Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB GAMBANG	CD 8315 \| QA76.76.D47 A97 2013 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000087062
Final Year Report	UMPLIB PEKAN	QA76.76.D47 A97 2013 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000087061

Project paper (Bachelor of Computer Science (Software Engineering) -- Universiti Malaysia Pahang - 2013

Bibliography : p. 102-108

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.