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.
By using neuroimaging approach, this study investigates if presence as mental representation of reality can be traced by neuroimaging by using 3D video and audio stimuli and fNIRS.
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.
This experiment asked: “Can we measure the brain activity of consumers watching advertisements?” The project explores correlating brain activity with user experience while viewing ads to predict product success and market-readiness with a new research modality, fNIRS.
Project measures EEG activity and GSR of a participant watching the democratic and republican debates. Pilot work was proposed to TEDx Syracuse to engage and seek collaboration with the local neuroscience and political community. Measurement of electrical dermal and brain activity is used to identify cognitive metaphors that characterize conservatives and liberals.
My project measures brain states of individuals on Facebook who consider sharing trending digital media events. In a modification of Matthew Lieberman of UCLA’s experiment, this fNIRS project measures “buzz” in the brain when participants share or do not share viral or trending media.
In a collaboration with electrical engineering and computer science post-doc and faculty, this project measures brain patterns elicited from mathematics and image-matching n-back tasks to identify individuals on the basis of their “brain-print.” The study required participants to come into the lab multiple times to participate in EEG and fNIRS data collection.
This project investigates if the proximity of the news topic is related to brain activity. It is expected that people are more likely to use different brain regions when they are exposed to news from geographically closer location compared to farther locations.
Researchers: Stephen Song, Sung Yoon Ri, Makana Chock
Funder: Newhouse Endowment
The meditation project involves using fNIRS to detect differences in brain state of individuals meditating. A collaboration with Hamilton State College faculty and students, the meditation experiment is aimed at assessing the effects of meditative states on the brain. Longitudinal studies with vulnerable populations such as trauma victims, veterans, and other local individuals is part of future work.
Company seeks to develop methods for measuring brain activity using a remote infrared measurement techniques.
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