This Project Grant award from the National Science Foundation (NSF) Integrative Activities (IA) program, CFDA 47.083, provides $611,959 to Meharry Medical College to develop a trustworthy, privacy-preserving edge-native framework that supports a latency-sensitive healthcare response application for video. The project aims to create a novel semantic-expression-based incident detection approach that identifies and isolates privacy-sensitive scenes within video frames. It also seeks to design and develop a deep neural network partitioning approach for real-time video analysis that is latency-aware and optimized for data privacy. The goal is to generate trustworthy emergency alerts and reports that can be understood by both healthcare providers and patients. The project involves partnerships between Meharry Medical College, the School of Applied Computational Sciences, and Hunter College, City University of New York. Subawards are planned under this grant.
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