Term 252

Emotion-Responsive Game Testing System Using Multimodal Biometric Sensing

Project Type: Self-Initiated

Project Description

This project develops a proof-of-concept system that evaluates player emotions during gameplay using real-time biometric data. Instead of relying on subjective methods like surveys and interviews, the system captures objective biometric signals, such as EEG, heart rate, and facial expressions, and processes them to identify emotional trends. These signals are synchronized with in-game events to provide context-aware insights into player experience. The system includes a real-time dashboard for visualization and stores data for later analysis, with a focus on accurate timing, low latency, and reliable performance.


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Project Team

Mohammed Nayil Althobaiti
Mohammed Nayil Althobaiti
ICS
Abdullah Fuad Alarafat
Abdullah Fuad Alarafat
COE
Haider Nader Alkhalifah
Haider Nader Alkhalifah
ICS
Abdullaziz Monther Althukair
Abdullaziz Monther Althukair
ICS
Rayan Waleed Alregaib
Rayan Waleed Alregaib
CIE
Mohammed Sadiq Alosayef
Mohammed Sadiq Alosayef
COE

Team Coach

Dr. Uthman Baroudi
Dr. Uthman Baroudi
Associate Professor

Department of Computer Engineering

Interdisciplinary Research Center for Intelligent Secure Systems