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.
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.
Working on a database that will enable researchers in the lab to share data for cross-experimental analysis. The long term goal is to have a database that will support automated hypothesis testing and model development, including integration with systems that algorithmically scan the literature for hypotheses to test.
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.
My project has 3 experiments in an investigation of the overall neural activity of change in state suspicion (CISS). Instant messaging between partners, fNIRS measurement of state suspicion, and an experiment conducted online with authentic and fake phishing websites.
We investigated U.S. Army helicopter pilots’ perceptions of autonomous systems. The goal is to help the VTD identify core considerations related to the integration of the Artificial Intelligence system they are developing into future helicopters.
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.
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.
Workshop with associate Lab in Korea, Konkuk University, at MIND Lab Syracuse involving over 15 participants from Korea here under the Brain Korea initiative.
Company seeks to develop methods for measuring brain activity using a remote infrared measurement techniques.
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