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Novel Multimodal Neural, Physiological, and Behavioral Sensing and Machine Learning for Mental States
Sponsor: University of Southern California
Summary
In this program, the investigators will develop novel multimodal neural-behavioral-physiological monitoring tools (software and hardware), and machine learning models for mental states within social processes and beyond. The tools consist of a multimodal skin-like wearable sensor for physiological and biochemical sensing; a conversational virtual human platform to evoke naturalistic social processes; audiovisual affect recognition software; synchronization tools; and machine learning methods to model the multimodal data. The investigators will demonstrate the tools in healthy subjects without neural recordings and in patients with drug-resistant epilepsy who already have intracranial EEG (iEEG) electrodes implanted based on clinical criteria for standard monitoring to localize seizures, which is unrelated to our study.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
90
Start Date
2024-08-01
Completion Date
2028-11-30
Last Updated
2025-10-01
Healthy Volunteers
Yes
Conditions
Interventions
Virtual human social interaction
The participants will perform a social interaction with the virtual human agent platform to assess mental states.
Cold pressor test
Healthy participants will immerse one hand in cold water for less than 3 minutes, while physiological data will be collected by the new wearable sensor from the other hand.
Locations (2)
Rancho Los Amigos National Rehabilitation Center
Downey, California, United States
University of Southern California
Los Angeles, California, United States