About this document
EEG and Deep Learning in VR Design by MEHRIN FATHIMA is a document available to read on EtoBox.
This study explores the integration of EEG and deep learning in immersive virtual reality (IVR) for architectural design decision-making. It aims to objectively understand human perception in virtual environments by analyzing brain activity and eye tracking data, ultimately enhancing human-centered design. The findings indicate a significant correlation between environmental experience and brain activation, suggesting that this multidisciplinary approach can improve design processes in architecture.
- Author
- MEHRIN FATHIMA
- Language
- EN