This project involves measuring workload and emotion while participants view music videos. Uses the DEAP dataset as stimuli and machine learning on cognitive data to develop classification models for new brain states.
This project employed machine learning to see if using ECG/EDA with fNIRS data can successfully categorize human emotion. Result showed 93.39% accuracy. Currently submitted to HCI conference.
We examine the form of augmented or mixed reality called projection mapping also known as three-dimensional (3D) projection mapping and how it affects on cognition, emotions, and behaviors. This study is on the studies of psychological effect, cognitive perception, and behavior change of this new medium e.g., immersion, usability, emotion, attitude, memory, visuospatial perception, learning, and et cetra.
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