The Physiology of Fear and Sound: Working with Biometrics toward Automated Emotion Recognition in Adaptive Gaming Systems
Year: 2013
Type: article
Abstract: The potential value of a looping biometric feedback system as a key component of adaptive computer video games is significant. Psychophysiological measures are essential to the development of an automated emotion recognition program, capable of interpreting physiological data into models of affect and systematically altering the game environment in response. This article presents empirical data the analysis of which advocates electrodermal activity and electromyography as suitable physiological measures to work effectively within a computer video game-based biometric feedback loop, within which sound is the primary affective stimuli.
Authors: Tom A. Garner, Mark Grimshaw
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2594283813