Project Team
Students
Anmol Garg
Computer Science
Harrisburg
Faculty Mentors
Sayed Mohsin Reza
Harrisburg
SCHOOL OF SCIENCE ENGINEERING AND TECHNOLOGY
Project
Project Video
Project Abstract
The convergence of Virtual Reality (VR), neuroimaging technologies such as Electroencephalogram (EEG), and Artificial Intelligence (AI) heralds a transformative approach to addressing mental health disorders. With mental health issues on the rise globally, innovative solutions are essential for effective treatment. This research presents a novel therapeutic modality that leverages these technologies to provide personalized mental health care.
Traditional mental health care often struggles to accommodate the diverse neurophysiological profiles of patients. Our approach addresses this limitation by offering a customizable therapeutic experience, finely tuned to each patient’s specific requirements. Previous research has demonstrated the efficacy of standalone VR therapy, with promising results published over the time. Our study builds on this foundation, integrating a biofeedback mechanism to create a closed-loop system that enhances personalization.
Our system harnesses the immersive power of VR, the precision of real-time brain activity monitoring through EEG, and the adaptive capabilities of AI algorithms to create a comprehensive therapeutic platform. By continuously monitoring and responding to the patient’s brain activity, it offers a level of customization previously unattainable in mental health care. This dynamic feedback loop ensures that the therapy is continuously tailored to the individual’s needs, enhancing its effectiveness. The adaptive, immersive, and precise nature of our system holds the potential to revolutionize the way mental health disorders are treated, offering hope for more effective and individualized care.
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