Game Development Based on Physiological Signals

Yan Gao

2025

Abstract

The paradigm of gaming is shifting from mere entertainment products to intelligent emotional interaction platforms. Integrating physiological signals—such as electroencephalography (EEG), electrocardiography (ECG), galvanic skin response (GSR), eye tracking, and electromyography (EMG)—significantly enhances user immersion and engagement. This study systematically analyzes the differential contributions of unimodal and multimodal physiological signals in game development. The perceptual mechanisms and interaction potential of key signals—including EEG encompassing (Steady-State Visual Evoked Potential (SSVEP), P300, and Motor Imagery (MI)), eye tracking, electrooculography (EOG), and EMG—are examined. Comparative case studies demonstrate unimodal implementations (e.g., EEG focus-controlled games, MI-based parkour games, EMG-driven Virtual Reality (VR) rehabilitation) and multimodal integrations (e.g., EEG-EOG hybrid systems for intent recognition, EEG-eye tracking synchronization in VR). Results indicate that unimodal approaches offer implementation efficiency and task-specific effectiveness, yet exhibit limited experiential dimensionality. Conversely, multimodal integration substantially enriches the user experience and enhances system robustness, albeit presenting significant technical integration challenges. This research concludes that overcoming multimodal fusion bottlenecks is critical for future advancement. Refining signal optimization mechanisms will accelerate the application of emotionally interactive gaming paradigms in entertainment and therapeutic domains.

Paper Citation

in Harvard Style

Gao Y. (2025). Game Development Based on Physiological Signals. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 411-415. DOI: 10.5220/0014360500004718

in Bibtex Style

@conference{emiti25,
author={Yan Gao},
title={Game Development Based on Physiological Signals},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={411-415},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014360500004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Game Development Based on Physiological Signals
SN - 978-989-758-792-4
AU - Gao Y.
PY - 2025
SP - 411
EP - 415
DO - 10.5220/0014360500004718
PB - SciTePress