Brain-deep AI interface for user-responsive reinforcement learning
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This technology, named PhysioLabXR, is an open-source, Python-based application for real-time processing and visualization of multimodal physiological data that can be customized for human-computer interaction and extended reality (XR) experiments. Unmet Need: Scalable, adaptable software for rapid integration of multimodal physiological data. Paul Sajda, Ph.D.
Related Publications:
Li Z, Wei H, Xie Z, Peng Y, Suh JP, Feiner S, Sajda P.
This technology uses machine learning to identify and selectively amplify noises of interest for the user. As such, a method of separating out extraneous noises is needed to improve hearing aid performance, which in turn will improve communication and mental health in users. Automated algorithm is customizable with user input.
The Technology: Physics-informed deep learning algorithm to predict driving behavior. “A physics-informed deep learning paradigm for car-following models” Trans Res Part C Emerg Technol. “Physics-informed deep learning for traffic state estimation” Proceedings of the AAAI Conference on Artificial Intelligence.