Brain-Computer Interfaces (BCI)

Investigating Feature Set Decisions for Mental State Decoding in Virtual Reality Based Learning Environments

This study investigates fNIRS-based feature sets for decoding mental states in VR learning, focusing on HbO and HbR features for machine learning applications.

Jun 1, 2023

Towards User-Aware VR Learning Environments: Combining Brain-Computer Interfaces with Virtual Reality for Mental State Decoding

A study combining fNIRS-based BCIs with VR to decode mental states for adaptive learning environments, focusing on working memory load and prefrontal cortex brain patterns.

Apr 1, 2023